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@ARTICLE{Abdalla08,
  author = {Abdalla, M. O. and Al Shabatat, N. and Al Qaisi, M.},
  title = {Linear matrix inequality based control of vehicle active suspension
	system},
  journal = {Vehicle System Dynamics},
  year = {2008},
  volume = {47},
  pages = {121-134},
  number = {1}
}

@INBOOK{abe2002,
  pages = {147-164},
  title = {A Mechatronics Approach to Advanced Vehicle Control Design},
  publisher = {Springer Netherlands},
  year = {2002},
  editor = {Aref, Hassan and Phillips, James W.},
  author = {Abe, Masato and Hedrick, J.},
  booktitle = {Mechanics for a New Mellennium},
  keywords = {Physics}
}

@CONFERENCE{adibi2010,
  author = {Adibi Asl, H. and Rideout, G.},
  title = {Using lead vehicle response to generate preview functions for active
	suspension of convoy vehicles},
  booktitle = {Proceeding of the American Control Conference (ACC), 2010},
  year = {2010},
  owner = {DELL},
  timestamp = {2013.07.26}
}

@PHDTHESIS{Akbari09,
  author = {Akbari, Ahmad Alvanagh},
  title = {Multi-Objective $H_\infty/GH_2 $ Preview Control of Active Vehicle
	Suspensions.},
  school = {Technical University of Munich},
  year = {2009},
  address = {Germany},
  owner = {DELL},
  timestamp = {2013.07.26}
}

@MISC{David12,
  author = {David Alciatore},
  title = {Definitions of "Mechatronics"},
  year = {2012},
  owner = {user},
  timestamp = {2013.11.13},
  url = {http://mechatronics.colostate.edu/definitions.html}
}

@ARTICLE{Alexandru10,
  author = {Alexandru, C. and Alexandru, P.},
  title = {The virtual prototype of a mechatronic suspension system with active
	force control},
  journal = {WSEAS Transactions on Systems},
  year = {2010},
  volume = {9},
  pages = {927-936},
  number = {9}
}

@ARTICLE{Alleyne95,
  author = {Alleyne, A. and Hedrick, J. K.},
  title = {Nonlinear adaptive control of active suspensions},
  journal = {Control Systems Technology IEEE Transactions on},
  year = {1995},
  volume = {3},
  pages = {94-101},
  number = {1},
  keywords = {Actuators Adaptive control Algorithm design and analysis Control system
	synthesis Control systems Nonlinear control systems Performance analysis
	State-space methods Suspensions System performance automobiles parameter
	estimation variable structure systems Lyapunov analysis active suspensions
	electro-hydraulic suspension system nonlinear adaptive control nonlinear
	sliding control law parameter adaptation scheme}
}

@ARTICLE{alvar2010,
  author = {Alvarez Cabrera, A. A. and Foeken, M. J. and Tekin, O. A. and Woestenenk,
	K. and Erden, M. S. and De Schutter, B. and van Tooren, M. J. L.
	and Babuska, R. and van Houten, F. J. A. M. and Tomiyama, T.},
  title = {Towards automation of control software: A review of challenges in
	mechatronic design},
  journal = {Mechatronics},
  year = {2010},
  volume = {20},
  pages = {876-886},
  number = {8},
  abstract = {Development of mechatronic systems requires collaboration among experts
	from different design domains. In this paper the authors identify
	a set of challenges related to the design of mechatronic systems.
	The challenges are mostly related to integration of design and analysis
	tools, and automation of current design practices. Addressing these
	challenges enables the adoption of a concurrent development approach
	in which the synergetic effects that characterize mechatronic systems
	are taken into account during design. The main argument is that in
	order to deal with software development problems for complex mechatronic
	systems, there is a need to look at system design practices beyond
	concurrency, i.e., there is a need to consider the complex interdependencies
	among subsystems and the designers that develop them. A review on
	current methods and tools is carried out to identify possible solutions
	proposed in previous works. The purpose is not to make an extensive
	review, but to show that integration, from different points of view,
	is a major issue and that increasing the level of abstraction in
	the description of systems can help to overcome the integration challenges.
	An increased level of abstraction also forms a basis for addressing
	other issues in mechatronic product development, which are presented
	in this work. With that in mind, concepts for an integration framework
	are proposed. The goal of the framework is to support a multi-disciplinary
	design team to (almost) automatically generate and verify control
	software. Based on high-level architectural descriptions, the software
	generation and verification process can be supported by knowledge-based
	methods and tools. Other goals are to support communication among
	engineers, improve reliability of designs, increase reuse of design
	knowledge, and reduce development time and development costs.},
  keywords = {Control software generation Design methods Design tools Development
	challenges Function modeling Integration Knowledge base Mechatronics}
}

@ARTICLE{van2003,
  author = {van Amerongen J and Breedveld P},
  title = {Modelling of physical systems for the design and control of mechatronic
	systems},
  journal = {Annual Reviews in Control},
  year = {2003},
  volume = {27},
  pages = {87-117}
}

@ARTICLE{Anderson00,
  author = {Anderson, Brian D. O. and Brinsmead, Thomas S. and Bruyne, Franky
	De and Hespanha, JoÃ£o and Liberzon, Daniel and Morse, A Stephen},
  title = {Multiple model adaptive control, part 1: Finite controller coverings.},
  journal = {International Journal of Robust and Nonlinear Control},
  year = {2000},
  volume = {10},
  pages = {909-929},
  number = {11-12}
}

@INPROCEEDINGS{Angeli01,
  author = {Angeli, D. and Mosca, E.},
  title = {Lyapunov-based switching supervisory control of nonlinear uncertain
	systems},
  booktitle = {Proceedings of the American Control Conference},
  year = {2001},
  volume = {2},
  pages = {967-972 vol.2},
  abstract = {The problem of controlling nonlinear noisy systems affected by parametric
	uncertainties is approached via the introduction of a supervisor
	which switches on, in feedback to the plant, one controller selected
	from a finite set of predesigned controllers. A Lyapunov-based falsification
	criterion allows one to ensure robust stability in the presence of
	uncertain constant parameters and exogenous bounded disturbances},
  keywords = {Lyapunov methods asymptotic stability discrete time systems nonlinear
	control systems robust control uncertain systems Lyapunov-based falsification
	criterion Lyapunov-based switching supervisory control exogenous
	bounded disturbances feedback noisy systems nonlinear uncertain systems
	parametric uncertainties robust stability supervisor Adaptive control
	Control systems Feedback loop Programmable control Supervisory control
	Switches Uncertainty}
}

@ARTICLE{Appleyard95,
  author = {Appleyard, M. and Wellstead, P.E.},
  title = {Active Suspension:Some Background },
  journal = {Proc. Contr. Theory App},
  year = {1995},
  volume = {142},
  pages = {123-128}
}

@INPROCEEDINGS{athans,
  author = {Athans, M.},
  title = {Multiple model adaptive control for the NASA F-8 DFBW aircraft},
  booktitle = {Decision and Control including the 15th Symposium on Adaptive Processes,
	1976 IEEE Conference on},
  year = {1976},
  volume = {15},
  pages = {23-23}
}

@INPROCEEDINGS{Athans75,
  author = {Athans, M. and Dunn, K. P. and Greene, C. S. and Lee, W. H. and Sandell,
	N. R. and Segall, I. and Willsky, A. S.},
  title = {The stochastic control of the F-8C aircraft using the multiple model
	adaptive control (MMAC) method},
  booktitle = {Proceeding of the IEEE Conference on Decision and Control including
	the 14th Symposium on Adaptive Processes},
  year = {1975},
  volume = {14},
  pages = {217-228}
}

@INPROCEEDINGS{Athans05,
  author = {Athans, Michael and Fekri, Sajjad and Pascoal, Antonio},
  title = {Issues On Robust Adaptive Feedback Control},
  booktitle = {Proceedings of 16th IFAC World Congress},
  year = {2005},
  keywords = {aic}
}

@TECHREPORT{Balas01,
  author = {Balas, G. J. and J. C. Doyle and K. Glover and A. Packard and R.
	Smith},
  title = {$\mu$-analysis and synthesis toolbox.},
  institution = {The Mathworks ,Inc.},
  year = {2001},
  owner = {user},
  timestamp = {2013.11.13}
}

@ARTICLE{Baldi10,
  author = {Baldi, Simone and Battistelli, Giorgio and Mosca, Edoardo and Tesi,
	Pietro},
  title = {Multi-model unfalsified adaptive switching supervisory control},
  journal = {Automatica},
  year = {2010},
  volume = {46},
  pages = {249-259},
  number = {2},
  abstract = {The paper studies how on-line inferring stability of a potential control-loop
	consisting of an uncertain plant interconnected in feedback with
	a candidate controller using plant I/O pairs recorded while the plant
	is possibly driven by a different controller. In such a context,
	a convenient tool to work with is to resort to the conceptual entity
	of a virtual reference (VR). The adopted approach consists of embedding,
	in the so-called unfalsified adaptive switching control schemes based
	on VR, a family of nominal models pairwise associated with the given
	candidate controllers. The result is that the supervised switching
	mechanism can moderate the chance that destabilizing controllers
	be switched-on and, hence, reduce both the magnitude and time durations
	of â€œlearningâ€� transients after start-up, while, in contrast with
	pre-existing multi-model based methods, stability in-the-large is
	guaranteed under the minimal conceivable assumption that a stabilizing
	candidate controller exist.},
  keywords = {Control of uncertain plants Adaptive control Switching supervisory
	control}
}

@INPROCEEDINGS{Bao-Lin06,
  author = {Bao-Lin, Wu and Dong-Lei, He and Xi-Bin, Cao},
  title = {Multi-Objective Output-Feedback Control for Satellite Formation Keeping:
	An LMI Approach},
  booktitle = {Proceedings of the Machine Learning and Cybernetics International
	Conference},
  year = {2006},
  pages = {528-533},
  abstract = {Robust output-feedback controller against various perturbations is
	proposed for satellite formation keeping. The mixed H<sub>2</sub>/H<sub>infin</sub>
	controller with regional pole placement constraints is designed based
	on linear Hill's equations. The mixed H<sub>2</sub>/H<sub>infin</sub>
	controller takes into account both the disturbance rejection aspects
	and the LQG aspects. In addition, the closed-loop poles can be forced
	into some sector of the stable half-plane to obtain well-damped transient
	responses. The problem is reduced to a convex optimization involving
	linear matrix inequalities (LMIs), so it can be solved efficiently.
	Extensive simulation studies were conducted for the validation of
	the proposed robust controller using Matlabtrade. The simulation
	results demonstrate that the developed multi-objective control system
	is robust stable and optimal in the sense of H<sub>2</sub> norm,
	and has good steady-state and dynamic performances against various
	disturbances for the satellite formation system},
  keywords = {H<sup>infin</sup> control aerospace control artificial satellites
	closed loop systems control system synthesis convex programming feedback
	linear matrix inequalities linear quadratic Gaussian control robust
	control transient response LMI approach LQG aspects closed-loop poles
	convex optimization disturbance rejection aspects linear Hill equations
	mixed H<sub>2</sub>-H<sub>infin</sub> controller robust multiobjective
	output-feedback controller satellite formation keeping well-damped
	transient responses}
}

@INPROCEEDINGS{Barbu05,
  author = {Barbu, C. and Trahan, R. E.},
  title = {Frequency domain system identification: a full estimation approach},
  booktitle = {Proceedings of the IEEE Conference CCA, Control Applications},
  year = {2005},
  pages = {1448-1454},
  abstract = {The purpose of this paper is to address the full estimation issue,
	where both the order and the parameters are identified for single-input/single-output
	linear time-invariant systems. The technique introduced here investigates
	the system identification problem when the phase information is lacking
	and only the magnitude of the input/output and the frequency data
	are available. The system identification approach described in this
	work has been shown to function with good results on both simulated
	and measured data},
  keywords = {Explosions Frequency domain analysis Frequency estimation Frequency
	measurement Predictive models Seismic measurements Stochastic resonance
	System identification Time measurement Transfer functions frequency-domain
	analysis linear systems parameter estimation frequency domain system
	identification full estimation single-input linear time-invariant
	systems single-output linear time-invariant systems}
}

@INCOLLECTION{Bates02,
  author = {Bates, Declan G. and Postlethwaite, Ian},
  title = {The Structured Singular Value and $\mu$-Analysis},
  booktitle = {Advanced Techniques for Clearance of Flight Control Laws},
  publisher = {Springer Berlin Heidelberg},
  year = {2002},
  editor = {Fielding, Christopher and Varga, Andras and Bennani, Samir and Selier,
	Michiel},
  volume = {283},
  series = {Lecture Notes in Control and Information Sciences},
  pages = {37-55},
  isbn = {978-3-540-44054-3},
  language = {English}
}

@INPROCEEDINGS{Becker96,
  author = {Becker, M. and Jaker, K. P. and Fruhauf, F. and Rutz, R.},
  title = {Development of an active suspension system for a Mercedes-Benz coach
	(O404)},
  booktitle = {Computer-Aided Control System Design, 1996., Proceedings of the 1996
	IEEE International Symposium},
  year = {1996},
  pages = {146-151}
}

@BOOK{Bequette03,
  title = {Process Control: Modeling, Design, and Simulation},
  publisher = {Prentice Hall Professional},
  year = {2003},
  author = {Bequette, B. W.},
  pages = {769},
  owner = {user},
  timestamp = {2013.11.13}
}

@MISC{bose2010,
  author = {Bose},
  title = {Resolving the conflict between comfort and control},
  year = {2010},
  publisher = {The BoseÂ® Suspension System,},
  url = {http://www.bose.co.uk/GB/en/automotive/innovations/suspension-system/applied-learning/}
}

@ARTICLE{Bradley10,
  author = {Bradley, David},
  title = {Mechatronics - More questions than answers},
  journal = {Mechatronics},
  year = {2010},
  volume = {20},
  pages = {827-841},
  number = {8},
  abstract = {Since the introduction of mechatronics as an integrated and integrating
	approach to the design, development and operation of complex systems,
	there have been significant developments in technology, and in particular
	in processing power, which have changed the nature of a wide range
	of products and systems from domestic appliances and consumer goods
	to manufacturing systems and vehicles. In addition, the development
	and implementation of strategies such as those associated with concurrent
	engineering and the introduction of intelligent tools to support
	the design of complex products and systems has also changed the way
	in which such systems are conceived, implemented and manufactured.
	The aim of the paper is not however to attempt to address or answer
	specific questions as to the nature of mechatronics and its current
	and future standing as an approach to engineering design and development,
	but to initiate, provoke and stimulate debate and discussion on a
	range of mechatronics related issues, without necessarily attempting
	to provide answers or suggest new methods or approaches, relating
	to the future potential of and directions for mechatronics. In this
	respect therefore, while containing an element of review, the paper
	is intended as a discussion document structured around the author's
	personal experience and perspective of mechatronics issues. Inherent
	to this questioning of the ways in which mechatronics may develop
	are the various attempts that have taken place over the years to
	provide a definition of mechatronics, either in the form of text
	or logo and whether these efforts have of themselves been a source
	of confusion as to both content and direction within mechatronics?
	In which case, might it be preferable for mechatronics practitioners
	to operate within their own particular context than to attempt to
	conform to a specific and overarching definition? Finally, it must
	also be made clear that in writing this paper that complete agreement
	with the reader as to the particular questions raised and comments
	made is neither sought nor intended.}
}

@ARTICLE{Castaldi05,
  author = {Castaldi, P. and W. Geri and M. Montanari and A. Tilli},
  title = {A new adaptive approach for on-line parameter and state estimation
	of induction motors},
  journal = {Control Engineering Practice},
  year = {2005},
  volume = {13},
  pages = {81-94},
  number = {1},
  owner = {user},
  timestamp = {2013.11.13}
}

@ARTICLE{Cauchy1847,
  author = {Cauchy, A. M. A.},
  title = {Methodes generales pour la resolution des syst‘emes dequations simultanees.},
  journal = {C.R. Acad. Sci. Par.},
  year = {1847},
  volume = {25},
  pages = {536-538.},
  owner = {user},
  timestamp = {2013.11.13}
}

@INPROCEEDINGS{Chang07,
  author = {Chang, Jui Chun},
  title = {Aanalysis of series type and parallel type active suspension systems},
  booktitle = {Proceeding of the Ta Hwa Institute of Technology International Conference},
  year = {2007},
  volume = {307},
  pages = {177-182},
  address = {Hsinchu, Taiwan, China}
}

@ARTICLE{Changizi11,
  author = {Changizi, Nemat and Rouhani, Modjtaba},
  title = {Comparing PID and Fuzzy Logic Control a QuarterCar Suspension System},
  journal = {The Journal of Mathematics and Computer Science},
  year = {2011},
  volume = {Vol .2 No.3},
  pages = {559-564},
  keywords = {suspension system, a quartercar model, fuzzy logic control, PID controller,
	spring and damper 1,*}
}

@INPROCEEDINGS{Chantranuwathana99,
  author = {Chantranuwathana, S. and Huei, P.},
  title = {adaptive robust force control for vehicle active suspension },
  booktitle = {Proceedings of the 1999 IEEE International Conference, Control Applications},
  year = {1999},
  volume = {1},
  pages = {442-447},
  address = {Kohala Coast, HI, USA},
  journal = { Ph.D thesis}
}

@ARTICLE{Chaudhuri04,
  author = {Chaudhuri, B. and Majumder, R. and Pal, B. C.},
  title = {Application of multiple-model adaptive control strategy for robust
	damping of interarea oscillations in power system},
  journal = {Control Systems Technology, IEEE Transactions on},
  year = {2004},
  volume = {12},
  pages = {727-736},
  number = {5},
  abstract = {This paper demonstrates the application of multiple-model adaptive
	control (MMAC) strategy for robust damping of low-frequency electromechanical
	oscillation in an interconnected power system. The control algorithm
	uses a model-based approach to account for the variability and uncertainty
	involved in the postdisturbance dynamics of the system. Conventional
	proportional-integral-derivative (PID) controllers are tuned to achieve
	the desired performance for each of these models. Using a Bayesian
	approach, the probability of each model representing the actual power
	system response is computed in each iteration. The resultant control
	action is derived as a probability-weighted average of the individual
	control moves of the controllers. This strategy has been used to
	design and test a damping controller for a thyristor controlled series
	compensator (TCSC) device installed in a prototype power system.
	The control scheme worked satisfactorily following possible disturbances
	without any prior knowledge about the specific postdisturbance dynamics.},
  keywords = {Bayes methods adaptive control circuit oscillations damping power
	system interconnection synchronous generators three-term control
	thyristor applications Bayesian approach damping controller interconnected
	power system low-frequency electrochemical oscillation multiple-model
	adaptive control strategy postdisturbance dynamics power system interarea
	oscillation proportional-integral-derivative controller robust damping
	thyristor controlled series compensator device Control systems Power
	system control Power system dynamics Power system modeling Power
	systems Robust control Thyristors MMAC TCSC interarea oscillations
	multiple-model adaptive control robustness thyristor controlled series
	compensator}
}

@INPROCEEDINGS{Chen03,
  author = {Chen, H. and Sun, P. Y. and Guo, K. H.},
  title = {A multi-objective control design for active suspensions with hard
	constraints},
  booktitle = {Proceedings of the American Control Conference},
  year = {2003},
  volume = {5},
  pages = {4371-4376 vol.5},
  abstract = {The generalized <font face="helvetica"><i>H</i></font><sub>2</sub>
	norm is adapted to capture requirements of satisfying time-domain
	hard constraints such as suspension stroke limitation, road holding
	constraint and actuator saturation. The peak amplitudes can then
	be bounded directly. The <font face="helvetica"><i>H</i></font><sub>2</sub>
	norm is used as a measure for ride comfort. This way, conflicting
	control objectives are specified independently in the framework of
	multi-objective control and solved using LMI optimization. Simulation
	results for a 2 DOF quarter-car model confirm a significant improvement
	on robust ride comfort, while it is guaranteed that suspension stroke
	and active force remain within given bounds and the wheel is in firm
	control to road, for all uncertainties considered.},
  keywords = {actuators automobiles control system synthesis linear matrix inequalities
	optimisation DOF quarter-car model LMI optimization active suspensions
	actuator saturation multiobjective control design ride comfort measure
	road holding constraint suspension stroke limitations time-domain
	hard constraints H<sub>2</sub> norm}
}

@CONFERENCE{Codeca08,
  author = {Codeca, F. and Savaresi, S. M. and Spelta, C. and Montiglio, M. and
	Ieluzzi, M.},
  title = {Identification of an electro-hydraulic controllable shock absorber
	using black-block non-linear models},
  booktitle = {Proceeding of IEEE International Conference, Control Applications},
  year = {2008},
  pages = {462-467},
  address = {San Antonio, TX, USA}
}

@BOOK{Colin02,
  title = {Genetic Algorithms Principles and Perspectives;A Guide to GA Theory},
  publisher = {Springer},
  year = {2002},
  author = {Colin, R. Reeves and Jonathan, E. Rowe},
  volume = {20},
  address = {USA},
  owner = {user},
  timestamp = {2013.11.13}
}

@ARTICLE{Corriga91,
  author = {Corriga, G. and Sanna, S. and Usai, G.},
  title = {An optimal tandem active-passive suspension system for road vehicles
	with minimum power consumption},
  journal = {Industrial Electronics, IEEE Transactions on},
  year = {1991},
  volume = {38},
  pages = {210-216},
  number = {3}
}

@ARTICLE{Crews11,
  author = {Crews, John H. and Mattson, Michael G. and Buckner, Gregory D.},
  title = {Multi-objective control optimization for semi-active vehicle suspensions},
  journal = {Journal of Sound and Vibration},
  year = {2011},
  volume = {330},
  pages = {5502-5516},
  number = {23},
  abstract = {In this paper we demonstrate a method for determining the optimality
	of control algorithms based on multiple performance objectives. While
	the approach is applicable to a broad range of dynamic systems, this
	paper focuses on the control of semi-active vehicle suspensions.
	The two performance objectives considered are ride quality, as measured
	by absorbed power, and thermal performance, as measured by power
	dissipated in the suspension damper. A multi-objective genetic algorithm
	(MOGA) is used to establish the limits of controller performance.
	To facilitate convergence, the MOGA is initialized with popular algorithms
	such as skyhook control, feedback linearization, and sliding mode
	control. The MOGA creates a Pareto frontier of solutions, providing
	a benchmark for assessing the performance of other controllers in
	terms of both objectives. Furthermore, the MOGA provides insight
	into the remaining achievable gains in performance.}
}

@INPROCEEDINGS{Dawei10,
  author = {Dawei, Liu and Huanming, Chen and Rongchao, Jiang and Wei, Liu},
  title = {Study of ride comfort of active suspension based on model reference
	neural network control system},
  booktitle = {Proceeding of the Sixth International Conference, Natural Computation
	(ICNC)},
  year = {2010},
  volume = {4},
  pages = {1860-1864},
  abstract = {In order to study the ride comfort of active suspension vehicle, a
	detailed virtual prototype vehicle was established by using SIMPACK
	software, and a seven-degree freedom mathematical model for the active
	suspension automotive system was also built. A model reference adaptive
	control based on neural network was designed for active suspension
	system. The SIMPACK-MATLAB co-simulation method was used to analyze
	the ride comfort of active suspension. The result showed that, comparing
	with passive suspension, when the vehicle speed reached to 60km/h
	on grade C road, the neural network controller could reduce the mean
	square roots(RMS) of the vertical acceleration, the roll angular
	acceleration and the pitch angular acceleration by 38.75%, 44.12%
	and 36.99%. When the speed of vehicle achieved 120km/h, the mean
	square roots reduced by 33.88%, 41.97% and 25.50%. It showed that
	the model reference adaptive control based on neural network could
	reduce the vehicle body vibration and improve the ride comfort.},
  keywords = {automotive engineering mean square error methods model reference adaptive
	control systems neurocontrollers road vehicles suspensions (mechanical
	components) virtual prototyping SIMPACK software SIMPACK-MATLAB co-simulation
	method active suspension automotive system active suspension vehicle
	mean square roots model reference neural network control system neural
	network pitch angular acceleration ride comfort roll angular acceleration
	seven-degree freedom mathematical model vertical acceleration virtual
	prototype vehicle}
}

@MISC{Delphi05,
  author = {Delphi},
  title = {Delphi MagneRide},
  year = {2005},
  url = {http://www.motor-talk.de/forum/aktion/Attachment.html?attachmentId=488981}
}

@INPROCEEDINGS{Doyle83,
  author = {Doyle, J. C.},
  title = {Synthesis of robust controllers and filters},
  booktitle = {Proceeding of the 22nd IEEE Conference on Decision and Control},
  year = {1983},
  pages = {109-114},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Doyle89,
  author = {Doyle, J. C. and Glover, K. and Khargonekar, P. P. and Francis, B.
	A.},
  title = {State-space solutions to standard ${H}_2$ and ${H}_\infty$ control
	problems},
  journal = {Automatic Control, IEEE Transactions on},
  year = {1989},
  volume = {34},
  pages = {831-847},
  number = {8},
  keywords = {optimal control state-space methods transfer functions H<sub>&infin
	</sub> control H<sub>&infin </sub> norm H<sub>2</sub> control LQG
	algebraic Riccati equations closed-loop transfer function linear
	fractional transformation spectral radius state-space formulas}
}

@ARTICLE{du2007,
  author = {Du, H. and N. Zhang},
  title = {${H}_\infty$ control of active vehicle suspensions with actuator
	time delay.},
  journal = {Journal of Sound and Vibration},
  year = {2007},
  volume = {301(1–2)},
  pages = {236-252.},
  owner = {DELL},
  timestamp = {2013.07.24}
}

@ARTICLE{du2008,
  author = {Du, H. and N. Zhang and J. Lam},
  title = {Parameter dependent input delayed control of uncertain vehicle suspensions.},
  journal = {Journal of Sound and Vibration},
  year = {2008},
  volume = {317},
  pages = {537-556},
  number = {(3–5)}
}

@ARTICLE{Efatpenah00,
  author = {Efatpenah, Keyanoush and Beno, Joseph H and Nichols, Steven P},
  title = {Energy requirements of a passive and an electromechanical active
	suspension system.},
  journal = { Vehicle System Dynamics},
  year = {2000},
  volume = {34},
  pages = {437-458}
}

@ARTICLE{Elmadany11,
  author = {Elmadany, M. M. and Qarmoush, A. O.},
  title = {Dynamic analysis of a slow-active suspension system based on a full
	car model},
  journal = {JVC/Journal of Vibration and Control},
  year = {2011},
  volume = {17},
  pages = {39-53},
  number = {1}
}

@BOOK{Eykhof74,
  title = {System identification: parameter and state estimation},
  publisher = {Wiley-Interscience},
  year = {1974},
  author = {Pieter Eykhoff},
  pages = {555},
  owner = {user},
  timestamp = {2013.11.14}
}

@PHDTHESIS{Fekri05,
  author = {Fekri, Sajjad},
  title = {Robust adaptive MIMO control using multiple-model hypothesis testing
	and mixed mu synthesis.},
  school = {Instituto Superior Tecnico},
  year = {2005},
  address = {Lisbon,Portugal},
  university = { Instituto Superior Tecnico}
}

@ARTICLE{Fekri07,
  author = {Fekri, Sajjad and Athans, Michael and Pascoal, Antonio},
  title = {Robust multiple model adaptive control (RMMAC): a case study},
  journal = {International Journal of Adaptive Control and Signal Processing},
  year = {2007},
  volume = {21},
  pages = {1-30},
  number = {1}
}

@ARTICLE{Fekri06,
  author = {Fekri, Sajjad and Athans, Michael and Pascoal, Antonio},
  title = {Issues, progress and new results in robust adaptive control},
  journal = {International Journal of Adaptive Control and Signal Processing},
  year = {2006},
  volume = {20},
  pages = {519-579},
  number = {10}
}

@ARTICLE{Fialho02,
  author = {Fialho, I. and Balas, G. J.},
  title = {Road adaptive active suspension design using linear parameter-varying
	gain-scheduling},
  journal = {IEEE Transactions on Control Systems Technology},
  year = {2002},
  volume = {10},
  pages = {43-54},
  number = {1}
}

@ARTICLE{Fialho00,
  author = {Fialho, Ian J. and Balas, Gary J.},
  title = {Design of Nonlinear Controllers for Active Vehicle Suspensions Using
	Parameter-Varying Control Synthesis},
  journal = {Vehicle System Dynamics},
  year = {2000},
  volume = {33},
  pages = {351-370},
  number = {5}
}

@BOOK{Fijalkowski11,
  title = {Automotive Mechatronics: Operational and Practical.},
  publisher = {Springer},
  year = {2011},
  author = {Fijalkowski, B. T.},
  volume = {2},
  address = {London}
}

@ARTICLE{Fischer04,
  author = {Fischer, Daniel and Isermann, Rolf},
  title = {Mechatronic semi-active and active vehicle suspensions},
  journal = {Control Engineering Practice},
  year = {2004},
  volume = {12},
  pages = {1353-1367},
  number = {11}
}

@INPROCEEDINGS{Gao06a,
  author = {Gao, G. S. and Yang, S. P.},
  title = {Semi-active Control Performance of Railway Vehicle Suspension Featuring
	Magnetorheological Dampers},
  booktitle = {Proceeding of the 1ST IEEE Conference on Industrial Electronics and
	Applications,},
  year = {2006},
  pages = {1-5}
}

@ARTICLE{Gao06b,
  author = {Gao, Huijun and Lam, James and Wang, Changhong},
  title = {Multi-objective control of vehicle active suspension systems via
	load-dependent controllers},
  journal = {Journal of Sound and Vibration},
  year = {2006},
  volume = {290},
  pages = {654-675},
  number = {3-5}
}

@ARTICLE{Gaspar03,
  author = {Gaspar, P. and Szaszi, I. and Bokor, J.},
  title = {Design of Robust Controllers for Active Vehicle Suspension Using
	the Mixed $\mu$ Synthesis},
  journal = {Vehicle System Dynamics},
  year = {2003},
  volume = {40},
  pages = {193-228},
  number = {4}
}

@ARTICLE{Gavriloski07,
  author = {Gavriloski, V. and Danev, D. and Angushev, K.},
  title = {Mechatronic approach in vehicle suspension system design},
  journal = {World Congress},
  year = {2007},
  volume = {12},
  pages = {45-58},
  keywords = {control, vehicle, suspension system, semiactive, air spring, mechatronic}
}

@PHDTHESIS{Genger09,
  author = {Genger, C.},
  title = {Active and semi-active suspension control for specific point isolation
	of vehicles},
  school = {University of California},
  year = {2009},
  type = {dissertation},
  address = {California, United States.},
  university = {University of California}
}

@BOOK{Genta97,
  title = {Motor Vehicle Dynamics: Modeling and Simulation},
  publisher = {World Scientific},
  year = {1997},
  author = {Giancarlo Genta},
  volume = {43},
  pages = {539},
  series = {advances in mathematics for applied sciences,},
  owner = {user},
  timestamp = {2013.11.14}
}

@INPROCEEDINGS{Giorgetti05,
  author = {Giorgetti, N. and Bemporad, A. and Tseng, H. E. and Hrovat, D.},
  title = {Hybrid Model Predictive Control Application Towards Optimal Semi-Active
	Suspension},
  booktitle = {Proceedings of the IEEE International Symposium on Industrial Electronics,
	2005. ISIE 2005.},
  year = {2005},
  volume = {1},
  pages = {391-398}
}

@ARTICLE{Giovanini06,
  author = {Giovanini, L. and A. Ordys and M. Grimble},
  title = {Adaptive predictive control using multiple models, switching and
	tuning},
  journal = {International Journal of Control, Automation and Systems},
  year = {2006},
  volume = {4},
  pages = {12},
  number = {6},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Glover88,
  author = {Glover, K. and J. C. Doyle},
  title = {State-space formulae for all stabilizing controllers that satisfy
	an ${H}_{\infty}$ norm bound and relations to risk sensitivity.},
  journal = {Journal of Systems \& Control Letters},
  year = {1988},
  volume = {11},
  pages = {167 - 172},
  number = {3},
  owner = {user},
  timestamp = {2013.11.14}
}

@BOOK{Goodwin2009,
  title = {Adaptive Filtering Prediction and Control},
  publisher = {Dover Publications},
  year = {2009},
  author = {Graham C Goodwin and Kwai Sang Sin},
  pages = {560},
  series = {Dover Books on Electrical Engineering},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Gordon91,
  author = {Gordon, T. J. and C. Marsh and M. G. Milsted},
  title = {A Comparison of Adaptive LQG and Nonlinear Controllers for Vehicle
	Suspension Systems},
  journal = {Vehicle System Dynamics},
  year = {1991},
  volume = {20},
  pages = {321-340},
  number = {6},
  owner = {user},
  timestamp = {2013.11.14}
}

@INPROCEEDINGS{Graf11,
  author = {Graf, C. and Maas, J.},
  title = {Commercial vehicle cabin with active air suspension for improved
	ride comfort},
  booktitle = {Proceeding of the IEEE/ASME International Conference on Advanced
	Intelligent Mechatronics (AIM)},
  year = {2011},
  pages = {259-264}
}

@ARTICLE{Graves00,
  author = {Graves, Kynan E. and Iovenitti, Pio G. and Toncich, Dario},
  title = {Electromagnetic regenerative damping in vehicle suspension systems},
  journal = {International Journal of Vehicle Design,},
  year = {2000},
  volume = {24},
  pages = {182-197},
  number = {No. 2-3/2000}
}

@BOOK{Guglielmino10,
  title = {Semi-active Suspension Control: Improved Vehicle Ride and Road Friendliness},
  publisher = {Springer},
  year = {2010},
  author = {Guglielmino, Emanuele and Sireteanu, Tudor and Stammers, Charles
	W. and Ghita, Gheorghe and Giuclea, Marius},
  address = {London}
}

@ARTICLE{Gysen09,
  author = {Gysen, B. L. J. and Janssen, J. L. G. and Paulides, J. J. H. and
	Lomonova, E. A.},
  title = {Design Aspects of an Active Electromagnetic Suspension System for
	Automotive Applications},
  journal = {Industry Applications, IEEE Transactions on},
  year = {2009},
  volume = {45},
  pages = {1589-1597},
  number = {5}
}

@ARTICLE{Gysen10,
  author = {Gysen, B. L. J. and Paulides, J. J. H. and Janssen, J. L. G. and
	Lomonova, E. A.},
  title = {Active Electromagnetic Suspension System for Improved Vehicle Dynamics},
  journal = {Vehicular Technology, IEEE Transactions on},
  year = {2010},
  volume = {59},
  pages = {1156-1163},
  number = {3},
  keywords = {electric vehicles electromagnetic actuators road safety vehicle dynamics
	active electromagnetic suspension system active roll control electromagnetic
	actuation improved vehicle dynamics passenger safety passive spring
	pitch control tubular permanent-magnet actuator Active suspension
	permanent magnet (PM) tubular actuator}
}

@ARTICLE{han2005,
  author = {Han, Q. L.},
  title = {A new delay-dependent stability criterion for linear neutral systems
	with norm-bounded uncertainties in all system matrices.},
  journal = {International Journal of Systems Science},
  year = {2005},
  volume = {36(8)},
  pages = {469-475},
  owner = {DELL},
  timestamp = {2013.07.24}
}

@ARTICLE{Hao10,
  author = {Hao, F. and Zhao, X.},
  title = {Linear matrix inequality approach to static output-feedback stabilisation
	of discrete-time networked control systems},
  journal = {Control Theory and Applications, IET},
  year = {2010},
  volume = {4},
  pages = {1211-1221},
  number = {7}
}

@BOOK{Harris09,
  title = {Shock and Vibrations Handbook},
  publisher = {McGraw-Hill Education},
  year = {2009},
  author = {Harris, C. and Piersol, A. and Paez, T.}
}

@BOOK{Harris85,
  title = {Self-Tuning and Adaptive Control: Theory and Applications},
  publisher = {Inspec/Iee; 2 Rev Sub edition},
  year = {1985},
  author = {Harris, C. J. and S. A. Billings.},
  series = {I E E Control Engineering Series},
  owner = {user},
  timestamp = {2013.11.14}
}

@BOOK{Harrison04,
  title = {Vehicle Refinement: Controlling Noise and Vibration in Road Vehicles},
  publisher = {Butterworth-Heinemann; 1 edition},
  year = {2004},
  author = {Harrison, M.},
  pages = {360}
}

@INPROCEEDINGS{Hassani10,
  author = {Hassani, V. and M. Athans and A. M. Pascoal},
  title = {Applying the RMMAC methodology to an unstable plant},
  booktitle = {Proceeding of the 18th Iranian Conference on Electrical Engineering
	(ICEE)},
  year = {2010},
  pages = {674-679},
  address = {Iran},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{HaC87,
  author = {HaĆ, A.},
  title = {Adaptive Control of Vehicle Suspension},
  journal = {Vehicle System Dynamics},
  year = {1987},
  volume = {16},
  pages = {57-74},
  number = {2}
}

@BOOK{hegde2010,
  title = {Mechatronics},
  publisher = {Jones and Bartlett International},
  year = {2010},
  author = {Ganesh S. Hegde},
  pages = {281},
  series = {Engineering Series}
}

@BOOK{Heiring11,
  title = {Chassis Handbook;Fundamental, Driving Dynamics, Mechatronics, Perspectives.},
  publisher = {Springer},
  year = {2011},
  author = {Heiring, Bernd and Ersoy, Metin},
  pages = {590},
  edition = {1st Edition}
}

@ARTICLE{Hespanha01,
  author = {Hespanha, Joao and Liberzon, Daniel and Morse, A. Stephen and Anderson,
	Brian D. O. and Brinsmead, Thomas S. and Bruyne., Franky De},
  title = {Multiple model adaptive control. Part 2: switching},
  journal = {Int. J. Robust Nonlinear Control,Special Issue on Hybrid Systems
	in Control},
  year = {2001},
  volume = {11},
  pages = {479-496},
  number = {5}
}

@ARTICLE{Hrovat97,
  author = {Hrovat, D.},
  title = {Survey of Advanced Suspension Developments and Related Optimal Control
	Applications},
  journal = {Automatica},
  year = {1997},
  volume = {33},
  pages = {1781-1817},
  number = {10}
}

@ARTICLE{huijun2010,
  author = {Huijun, G. and S. Weichao and S. Peng},
  title = {Robust sampled-data ${H}_\infty$ control for vehicle active suspension
	systems.},
  journal = {Control Systems Technology},
  year = {2010},
  volume = {IEEE Transactions on 18(1)},
  pages = {238-245},
  owner = {DELL},
  timestamp = {2013.07.24}
}

@INPROCEEDINGS{Ichtev01,
  author = {Ichtev, A. and J. Hellendoorn and R. Babuska},
  title = {Fault detection and isolation using multiple Takagi-Sugeno fuzzy
	models. Fuzzy Systems},
  booktitle = {Proceeding of the 10th IEEE International Conference on Fuzzy Systems},
  year = {2001},
  volume = {3},
  pages = {1498 - 1502},
  address = {Melbourne, Vic.},
  owner = {user},
  timestamp = {2013.11.14}
}

@INPROCEEDINGS{Ichtev08,
  author = {Ichtev, Alexander and Puleva, Teofana},
  title = {Multiple-model adaptive control of hydro turbine generator with fuzzy
	TS models},
  booktitle = {Proceeding of the 9th WSEAS International Conference on Fuzzy System
	(FS'08)},
  year = {2008},
  pages = {67-72},
  address = {Sofia, Bulgaria}
}

@BOOK{Ioannou96,
  title = {Robust Adaptive Control},
  publisher = {Prentice Hall PTR},
  year = {1996},
  author = {Ioannou, Petros A. and Jing Sun},
  pages = {834},
  address = {Prentice Hall, Inc}
}

@ARTICLE{Isermann06,
  author = {Isermann, Rolf},
  title = {Automotive Mechatronic Systems-General Developments and Examples},
  journal = {at - Automatisierungstechnik},
  year = {2006},
  volume = {54},
  pages = {419-429},
  number = {9}
}

@STANDARD{ISO2631,
  title = {Evaluation of human exposure to whole-body vibration- Part 1},
  organization = {ISO 2631-1},
  institution = {Mechanical vibration and shock},
  author = {ISO-2631},
  howpublished = {Mechanical vibration and shock},
  year = {1997},
  owner = {user},
  timestamp = {2013.11.14}
}

@CONFERENCE{Jabri10,
  author = {Jabri, K. and E. Godoy and D. Dumur and A. Mouchette and Bele, B.},
  title = {Robust adaptive control of the mold level in the continuous casting
	process using multiple models},
  booktitle = {Proceeding of the American Control Conference (ACC)},
  year = {2010},
  pages = {6101-6108},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Jamshidi11,
  author = {Jamshidi, Fatemeh and Shaabany, Afshin},
  title = {Robust Control of an Active Suspension System Using ${H}_2$ \& ${H}_{\infty}$
	Control Methods},
  journal = {The Journal of American Science},
  year = {2011},
  volume = {7},
  pages = {1-5},
  number = {5}
}

@INPROCEEDINGS{Jie03,
  author = {Jie, Xiao and Kulakowski, B. T.},
  title = {Sliding mode control of active suspension for transit buses based
	on a novel air-spring model},
  booktitle = {Proceedings of the American Control Conference},
  year = {2003},
  volume = {5},
  pages = {3768-3773}
}

@ARTICLE{Jonasson08,
  author = {Jonasson, Mats and Roos, Fredrik},
  title = {Design and evaluation of an active electromechanical wheel suspension
	system},
  journal = {Mechatronics},
  year = {2008},
  volume = {18},
  pages = {218-230},
  number = {4}
}

@ARTICLE{Jones05,
  author = {Jones, W. D.},
  title = {Easy ride: Bose Corp. uses speaker technology to give cars adaptive
	suspension},
  journal = {Spectrum, IEEE},
  year = {2005},
  volume = {42},
  pages = {12-14},
  number = {5}
}

@ARTICLE{Jung97a,
  author = {Jung-Shan, Lin and Kanellakopoulos, Ioannis},
  title = {Nonlinear design of active suspensions},
  journal = {Control Systems, IEEE},
  year = {1997},
  volume = {17},
  pages = {45-59},
  number = {3}
}

@INPROCEEDINGS{Jung97b,
  author = {Jung-Shan, Lin and Kanellakopoulos, Ioannis},
  title = {Road-adaptive nonlinear design of active suspensions},
  booktitle = {Proceedings of the American Control Conference},
  year = {1997},
  volume = {1},
  pages = {714-718 vol.1},
  address = {Albuquerque, New Mexico, USA}
}

@INPROCEEDINGS{Kaleemullah11,
  author = {Kaleemullah, M. and Faris, W. F. and Hasbullah, F.},
  title = {Design of robust ${H}_\infty$, fuzzy and LQR controller for active
	suspension of a quarter car model},
  booktitle = {4th International Conference On Mechatronics (ICOM)},
  year = {2011},
  pages = {1-6}
}

@ARTICLE{Karnopp86,
  author = {Karnopp, Dean},
  title = {Theoretical Limitations in Active Vehicle Suspensions},
  journal = {Vehicle System Dynamics},
  year = {1986},
  volume = {15},
  pages = {41-54},
  number = {1},
  abstract = {SUMMARY Vehicle suspensions in which forces are generated in response
	to feedback signals by active elements obviously offer increased
	design flexibility compared to conventional suspensions using passive
	elements such as springs and dampers. It is often assumed that if
	practical difficulties are neglected, active systems could in principle
	produce arbitrary ideal, behavior. It is shown, using a simple linear
	two degree-of-freedom suspension system, model that even using complete
	state feed back and in the case of in which the system is controllable
	in the control theory sense, there still are limitations to suspension
	performance in the fully active case. If the ideal suspension performance
	is defined based on low-pass filtering of roadway unevenness inputs,
	an active suspension may not offer much better performance than a
	partially active or adaptive passive suspension depending upon the
	values of certain vehicle parameters.}
}

@ARTICLE{Karnopp83,
  author = {Karnopp, Dean},
  title = {Active Damping in Road Vehicle Suspension Systems},
  journal = {Vehicle System Dynamics},
  year = {1983},
  volume = {12},
  pages = {291-311},
  number = {6},
  abstract = {ABSTRACT Low order, linearized dynamic models of road vehicle suspension
	systems are analyzed to provide insight into the benefits of suspensions
	incorporating generalized velocity feedback compared with conventional
	passive suspensions. Damping forces from passive dampers are supplemented
	by forces generated by an active element requiring a power supply.
	A simple criterion is developed which indicates whether or not the
	introduction of activedamping forces will result in significant benefit
	for pneumatic tired vehicles. An extended active suspension concept
	involving a high-gain load leveler as well as active damping is analyzed.
	The realization of active or semi-active damping forces through electrical
	or hydraulic means is briefly discussed.}
}

@ARTICLE{Karnopp84,
  author = {Karnopp, Dean and Margolis, Donald},
  title = {Adaptive Suspension Concepts for Road Vehicles},
  journal = {Vehicle System Dynamics},
  year = {1984},
  volume = {13},
  pages = {145-160},
  number = {3},
  abstract = {SUMMARY Most vehicle suspensions are composed of passive spring and
	damper devices, although improved suspension performance is possible
	if an active system is used to control forces or relative velocities.
	The complexity, power requirements, and cost of fully active suspensions
	have restricted their use. Various partially active suspensions have
	been proposed and suspensions with slow load levelers and variable
	dampers are in widespread use. Here we analyze a class of basically
	passive suspensions the parameters of which can be varied actively
	in response to various measured signals on the vehicle. These suspensions
	can come close to optimal performance with simpler means than many
	of the active or semi-active schemes previously proposed.}
}

@ARTICLE{Karnopp74,
  author = {Karnopp, D C and Crosby, M J and Harwood, R A},
  title = {Vibration control using semiactive force generators},
  journal = {ASME Journal of Engineering for Industry},
  year = {1974},
  volume = {96},
  pages = {619-626.}
}

@ARTICLE{Kim02,
  author = {Kim, Hyo-Jun and Seok Yang, Hyun and Park, Young-Pil},
  title = {Improving the vehicle performance with active suspension using road-sensing
	algorithm},
  journal = {Computers \& Structures},
  year = {2002},
  volume = {80},
  pages = {1569-1577},
  number = {18-19}
}

@TECHREPORT{Koch10,
  author = {Koch, G. and E. Pellegrini and S. Spirk and B. Lohmann},
  title = {Design and Modeling of a Quarter-Vehicle Test Rig for Active Suspension.},
  institution = {Institute of Automatic Control},
  year = {2010},
  owner = {user},
  timestamp = {2013.11.14}
}

@INPROCEEDINGS{Koch10conf,
  author = {Koch, Guido and Spirk, Sebastian and Lohmann, Boris.},
  title = {Reference model based adaptive control of a hybrid suspension system},
  booktitle = {6th IFAC Symposium Advances in Automotive Control},
  year = {2010}
}

@PHDTHESIS{Koch11,
  author = {Koch, Guido P. A.},
  title = {Adaptive Control of Mechatronic Vehicle Suspension},
  school = {Institute of Automatic Control},
  year = {2011},
  address = {Germany},
  university = {Technical University of Munich ,Institute of Automatic Control}
}

@INPROCEEDINGS{Krause83,
  author = {Krause, James and Athans, M. and Sastry, S. S. and Valavani, Lena},
  title = {Robustness studies in adaptive control},
  booktitle = {The 22nd IEEE Conference on Decision and Control},
  year = {1983},
  volume = {22},
  pages = {977-981}
}

@ARTICLE{Krener80,
  author = {Krener, A.},
  title = {Kalman-bucy and minimax filtering},
  journal = {IEEE Transactions on Automatic Control},
  year = {1980},
  volume = {25},
  pages = {291-292},
  number = {2}
}

@ARTICLE{Kruczek10,
  author = {Kruczek, A. and Stribrsky, A. and Honc, J. and Hlinovsky, M.},
  title = {Controller choice for car active suspension},
  journal = {International Journal of Mechanics },
  year = {2010},
  volume = {3},
  pages = {61-68},
  number = {4}
}

@INPROCEEDINGS{Kuipers10,
  author = {Kuipers, M. and Ioannou, P.},
  title = {Multiple model adaptive control with mixing: A pedagogical example},
  booktitle = {47th IEEE Conference on Decision and Control, CDC},
  year = {2010},
  pages = {3239-3244}
}

@ARTICLE{Kumar06,
  author = {Kumar, M. Senthil and Vijayarangan, S.},
  title = {Design of LQR controller for active suspension system},
  journal = {Indian Journal of Engineering \& Materials Sciences},
  year = {2006},
  volume = {13},
  pages = {173-179}
}

@ARTICLE{Kumar07,
  author = {Kumar, M. Senthil and Vijayarangan., S.},
  title = {Analytical and experimental studies on active suspension system of
	light passenger vehicle to improve ride comfort},
  journal = {MECHANIKA.},
  year = {2007},
  volume = {3},
  pages = {814-823},
  number = {65}
}

@ARTICLE{Lai02,
  author = {Lai, C. Y. and W. H. Liao},
  title = {Vibration Control of a Suspension System via a Magnetorheological
	Fluid Damper},
  journal = {Journal of Vibration and Contro},
  year = {2002},
  volume = {l 8(4)},
  pages = {527-547},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Lainiotis70,
  author = {Lainiotis, D. G.},
  title = {Optimal adaptive estimation: Structure and parameter adaption},
  journal = {IEEE Transactions on Automatic Control},
  year = {1971},
  volume = {16},
  pages = {160-170},
  number = {2}
}

@ARTICLE{Lak11,
  author = {Lak, M. A. and Degrande, G. and Lombaert, G.},
  title = {The effect of road unevenness on the dynamic vehicle response and
	ground-borne vibrations due to road traffic},
  journal = {Soil Dynamics and Earthquake Engineering},
  year = {2011},
  volume = {31},
  pages = {1357-1377},
  number = {10}
}

@ARTICLE{Lei08,
  author = {Liu Lei and Wang Benli},
  title = {Multi Objective Robust Active Vibration Control for Flexure Jointed
	Struts of Stewart Platforms via ${H}_\infty$ and $\mu$ Synthesis},
  journal = {Chinese Journal of Aeronautics },
  year = {2008},
  volume = {4},
  pages = {125-133}
}

@ARTICLE{Leite05,
  author = {Leite, Valter J. S. and Peres, Pedro L. D.},
  title = {Pole location control design of an active suspension system with
	uncertain parameters},
  journal = {Vehicle System Dynamics},
  year = {2005},
  volume = {43},
  pages = {561-579},
  number = {8}
}

@ARTICLE{Li05,
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  abstract = {BMW has developed an active stabilizer bar system, called Dynamic
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	at the same rate as in conventional cars to alert the driver to the
	proximity of the stability limit. In addition, the self-steering
	properties of the vehicle, including understeering and oversteering,
	improve handling, agility, steering precision, and safety. The Dynamic
	Drive system consists of a hydraulic valve block with integrated
	sensors, a hydraulic pump coupled to the power steering pump, a lateral
	acceleration sensor, a control unit, several hydraulic lines, and
	two active stabilizer bars with rotating hydraulic actuators. The
	main control inputs for the Dynamic Drive system are steering angle
	and lateral acceleration. A dynamic observer implemented in the electronic
	control unit calculates the necessary vehicle stabilization torque
	based on a prediction derived from the steering angle signal and
	lateral acceleration.},
  keywords = {Acceleration Bars Control systems Hydraulic actuators Power steering
	Sensor systems Stability Valves Vehicle dynamics Vehicle safety controllers
	observers position control road vehicles Dynamic Drive system active
	stabilizer bar system dynamic observer electronic control unit hydraulic
	pump hydraulic valve block integrated sensors lateral acceleration
	lateral acceleration sensor power steering pump rotating hydraulic
	actuators steering angle signal vehicle stabilization torque}
}

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  booktitle = {Proceedings of the 48th IEEE Conference on Decision and Control},
  year = {2009},
  pages = {7669-7674},
  address = {China}
}

@INPROCEEDINGS{Williams94,
  author = {Williams, R. A. and Best, A.},
  title = {Control of a low frequency active suspension},
  booktitle = {International Conference on Control '94},
  year = {1994},
  volume = {1},
  pages = {338-343 vol.1}
}

@ARTICLE{Witters10,
  author = {Witters, M. and J. Swevers},
  title = {Black-box model identification for a continuously variable, electro-hydraulic
	semi-active damper},
  journal = {Mechanical Systems and Signal Processing},
  year = {2010},
  volume = {24(1)},
  pages = {4-18},
  owner = {user},
  timestamp = {2013.11.14}
}

@CONFERENCE{Wu06,
  author = {Wu, M. and X.-M. Zhang},
  title = {New Criteria on Delay-Dependent Robust Stability for Uncertain Neutral
	Systems.},
  booktitle = {Proceeding of the Control Conference},
  year = {2006},
  pages = {873-877},
  address = {China},
  owner = {DELL},
  timestamp = {2013.07.24}
}

@ARTICLE{XRong05,
  author = {X. Rong, Li and V. P. Jilkov},
  title = {Survey of maneuvering target tracking. Part V. Multiple-model methods},
  journal = {Aerospace and Electronic Systems, IEEE Transactions on},
  year = {2005},
  volume = {41},
  pages = {1255-1321},
  number = {4},
  owner = {user},
  timestamp = {2013.11.14}
}

@CONFERENCE{Xiaoli06,
  author = {Xiaoli, L. and K. Yunfeng and Y. Yixin},
  title = {Adaptive Control of Stochastic System by Using Multiple Models},
  booktitle = {Information Acquisition, IEEE International Conference on},
  year = {2006},
  pages = {1344-1348},
  owner = {user},
  timestamp = {2013.12.01}
}

@INPROCEEDINGS{Xu10,
  author = {Xu, Lin and Guo, Xuexun},
  title = {Hydraulic Transmission Electromagnetic Energy-Regenerative Active
	Suspension and Its Working Principle},
  booktitle = {Intelligent Systems and Applications (ISA), 2010 2nd International
	Workshop on},
  year = {2010},
  pages = {1-5}
}

@INPROCEEDINGS{Xue11,
  author = {Xue, X. D. and Cheng, K. W. E. and Zhang, Z. and Lin, J. K. and Wang,
	D. H. and Bao, Y. J. and Wong, M. K. and Cheung, N.},
  title = {Investigation on parameters of automotive electromagnetic active
	suspensions},
  booktitle = {Power Electronics Systems and Applications (PESA), 2011 4th International
	Conference on},
  year = {2011},
  pages = {1-5}
}

@INPROCEEDINGS{Xuemei09,
  author = {Xuemei, Zhu},
  title = {Practical PID Controller Implementation and the Theory Behind},
  booktitle = {Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second
	International Conference on},
  year = {2009},
  pages = {58-61}
}

@ARTICLE{Yamashita94,
  author = {Yamashita, M. and K. Fujimori and K. Hayakawa and H. Kimura},
  title = {Application of ${H}_\infty$ control to active suspension systems},
  journal = {Automatica},
  year = {1994},
  volume = {30},
  pages = {1717-1729},
  number = {11},
  owner = {user},
  timestamp = {2013.11.14}
}

@INPROCEEDINGS{Yamashita90,
  author = {Yamashita, M. and K. Fujimori and C. Uhlik and R. Kawatani and H.
	Kimura},
  title = {${H}_\infty$ control of an automotive active suspension},
  booktitle = {Proceedings of the 29th IEEE Conference on Decision and Control},
  year = {1990},
  volume = {4},
  pages = {2244-2250},
  owner = {user},
  timestamp = {2013.11.14}
}

@BOOK{Yu06,
  title = {Autotuning of PID Controllers: A Relay Feedback Approach},
  publisher = {Springer; 2nd edition},
  year = {2006},
  author = {Yu, Cheng-Ching},
  pages = {279},
  series = {Advances in Industrial Control},
  owner = {user},
  timestamp = {2013.11.17}
}

@CONFERENCE{yuan2010,
  author = {Yuan-Chang, Chang and Li-Wei, Kuo and Jenq-Lang, Wu},
  title = {Reliable multi-objective decentralized controller design},
  booktitle = {System Science and Engineering (ICSSE), 2010 International Conference
	on},
  year = {2010},
  pages = {227-232}
}

@INPROCEEDINGS{YuanChang10,
  author = {Yuan-Chang, C., K. Li-Wei \& W. Jenq-Lang},
  title = {Reliable multi-objective decentralized controller design},
  booktitle = {Proceeding of (ICSSE) System Science and Engineering International
	Conference},
  year = {2010},
  pages = {227-232.},
  address = {Taipei, Taiwan, China},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Zhang05,
  author = {Zhang, Y. and Alleyne, A.},
  title = {A practical and effective approach to active suspension control},
  journal = {Vehicle System Dynamics},
  year = {2005},
  volume = {43},
  pages = {305-330},
  number = {5}
}

@ARTICLE{Zhong10,
  author = {Zhong, X. and Ichchou, M. and Gillot, F. and Saidi, A.},
  title = {A dynamic-reliable multiple model adaptive controller for active
	vehicle suspension under uncertainties},
  journal = {Smart Materials and Structures},
  year = {2010},
  volume = {19},
  pages = {045007},
  number = {4},
  abstract = {The inherent uncertainties of vehicle suspension systems challenge
	not only the capability of ride comfort and handling performance,
	but also the reliability requirement. In this research, a dynamic-reliable
	multiple model adaptiveÂ (MMA) controller is developed to overcome
	the difficulty of suspension uncertainties while considering performance
	and reliability at the same time. The MMA system consists of a finite
	number of optimal sub-controllers and employs a continuous-time based
	Markov chain to guide the jumping among the sub-controllers. The
	failure mode considered is the bottoming and topping of suspension
	components. A limitation on the failure probability is imposed to
	penalize the performance of the sub-controllers and a gradient-based
	genetic algorithm yields their optimal feedback gains. Finally, the
	dynamic reliability of the MMA controller is approximated by using
	the integration of state covariances and a judging condition is induced
	to assert that the MMA system is dynamic-reliable. In numerical simulation,
	a long scheme with piecewise time-invariant parameters is employed
	to examine the performance and reliability under the uncertainties
	of sprung mass, road condition and driving velocity. It is shown
	that the dynamic-reliable MMA controller is able to trade a small
	amount of model performance for extra reliability.}
}

@BOOK{Zhou96,
  title = {Robust and optimal control},
  publisher = {Prentice Hall PTR},
  year = {1996},
  author = {Zhou, K. and J. C. Doyle and K. Glover, K.},
  owner = {user},
  timestamp = {2013.11.14}
}

@ARTICLE{Zin08,
  author = {Zin, A. and Sename, O. and Gaspar, P. and Dugard, L. and Bokor, J.},
  title = {Robust LPV- $\infty$ control for active suspensions with performance
	adaptation in view of global chassis control},
  journal = {Vehicle System Dynamics},
  year = {2008},
  volume = {46},
  pages = {889-912},
  number = {10},
  abstract = {This paper presents a new methodology for suspension control in view
	of global chassis control, developed in particular to guarantee greater
	driving safety and comfort. The control of the suspension subsystem
	allows the vehicle road holding (safety) and passenger comfort to
	be improved, but not at the same time. In order to reach them for
	every driving situation, an ?adaptive? two-degrees-of-freedom controller
	for active suspensions is proposed. This control architecture is
	?open? and could be linked and aggregated to many other controllers
	of vehicle dynamics. This control strategy ensures, on the one hand,
	the robustness in performances with respect to parameter uncertainties
	and, on the other hand, the trade-off between road holding and comfort.
	The proposed design is based on the LPV/ âˆž theory. Robust stability
	and performances are analysed within the ?-analysis framework.}
}

@BOOK{Astrom89,
  title = {Adaptive Control},
  publisher = {Addison-Wesley Publishing Company},
  year = {1989},
  author = {Åström, K. J. and B. Wittenmark},
  address = {Reading, Massachusetts},
  owner = {user},
  timestamp = {2013.11.13}
}

