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In control theory, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to slide along a cross-section of the system's normal behaviour. In recent years, SMC has been successfully applied to a wide variety of practical engineering systems including robot manipulators, aircraft, underwater vehicles, spacecraft, flexible space structures, electrical motors, power systems, and automotive engines. Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems addresses…mehr

Produktbeschreibung
In control theory, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to slide along a cross-section of the system's normal behaviour. In recent years, SMC has been successfully applied to a wide variety of practical engineering systems including robot manipulators, aircraft, underwater vehicles, spacecraft, flexible space structures, electrical motors, power systems, and automotive engines. Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems addresses the increasing demand for developing SMC technologies and comprehensively presents the new, state-of-the-art sliding mode control methodologies for uncertain parameter-switching hybrid systems. It establishes a unified framework for SMC of Markovian jump singular systems and proposes new SMC methodologies based on the analysis results. A series of problems are solved with new approaches for analysis and synthesis of switched hybrid systems, including stability analysis and stabilization, dynamic output feedback control, and SMC. A set of newly developed techniques (e.g. average dwell time, piecewise Lyapunov function, parameter-dependent Lyapunov function, cone complementary linearization) are exploited to handle the emerging mathematical/computational challenges. Key features: * Covers new concepts, new models and new methodologies with theoretical significance in system analysis and control synthesis * Includes recent advances in Markovian jump systems, switched hybrid systems, singular systems, stochastic systems and time-delay systems * Includes solved problems * Introduces advanced techniques Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems is a comprehensive reference for researchers and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduate and graduates studying in these areas.

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  • Produktdetails
  • Verlag: John Wiley & Sons
  • Seitenzahl: 288
  • Erscheinungstermin: 27. Mai 2014
  • Englisch
  • ISBN-13: 9781118862643
  • Artikelnr.: 41107485
Autorenporträt
Ligang Wu received the PhD degree in Control Theory andControl Engineering in 2006 from Harbin Institute of Technology,China. He was a Research Associate at Imperial College London, UK,and The University of Hong Kong, Hong Kong; a Senior ResearchAssociate at City University of Hong Kong, Hong Kong. Now, he is aProfessor of Control Science and Engineering at Harbin Institute ofTechnology, Harbin, China. Prof. Wu's current researchinterests include sliding mode control, switched hybrid systems,optimal control and filtering, aircraft control, and modelreduction. Prof. Wu has been in the editorial board of a number ofinternational journals, including IEEE Transactions on AutomaticControl, IEEE Access, Information Sciences, Signal Processing, IETControl Theory and Applications, Circuits Systems and SignalProcessing, Multidimensional Systems and Signal Processing, andNeurocomputing. He is also an Associate Editor for the ConferenceEditorial Board, IEEE Control Systems Society. Peng Shi received the PhD degree in ElectricalEngineering from the University of Newcastle, Australia; the PhDdegree in Mathematics from the University of South Australia; andthe DSc degree from the University of Glamorgan, UK. He was alecturer at the University of South Australia; a senior scientistin the Defence Science and Technology Organisation, Australia; anda professor at the University of Glamorgan, UK. Now, he is aprofessor at The University of Adelaide; and Victoria University,Australia. Prof. Shi's research interests include system andcontrol theory, computational intelligence, and operationalresearch. Prof. Shi is a Fellow of the Institution of Engineering andTechnology, and a Fellow of the Institute of Mathematics and itsApplications. He has been in the editorial board of a number ofinternational journals, including IEEE Transactions on AutomaticControl; Automatica; IEEE Transactions on Fuzzy Systems; IEEETransactions on Cybernetics; and IEEE Transactions on Circuits andSystems-I. Xiaojie Su was born in Henan, China, in 1985. He receivedthe B.E. degree in automation from Jiamusi University, Jiamusi,China, in 2008, the M.S. degree in Control Science and Engineeringfrom Harbin Institute of Technology, Harbin, China, in 2010, andthe PhD degree in Control Science and Engineering from HarbinInstitute of Technology, Harbin, China, in 2013. Currently, he is aProfessor of College of Automation at Chongqing University,Chongqing, China. His research interests include sliding modecontrol, robust filtering, T-S fuzzy systems, and model reduction.As a Guest Editor, he has organized two special issues inMathematical Problems in Engineering and Abstract and AppliedAnalysis, respectively.
Inhaltsangabe
Preface v Acknowledgements vii List of Notations xi List of Abbreviations xiii 1 Introduction 1 1.1 Sliding Mode Control 1 1.1.1 Fundamental Theory of SMC 1 1.1.2 Overview of SMC Methodologies 12 1.2 Uncertain Parameter
Switching Hybrid Systems 15 1.2.1 Analysis and Synthesis of Switched Hybrid Systems 15 1.2.2 Analysis and Synthesis of Markovian Jump Linear Systems 23 1.3 Contribution of the Book 24 1.4 Outline of the Book 26 Part One SMC of Markovian Jump Singular Systems 33 2 State Estimation and SMC of Markovian Jump Singular Systems 35 2.1 Introduction 35 2.2 System Description and Preliminaries 36 2.3 Stochastic Stability Analysis 37 2.4 Main Results 39 2.4.1 Observer and SMC Law Design 40 2.4.2 Sliding Mode Dynamics Analysis 41 2.5 Illustrative Example 45 2.6 Conclusion 47 3 Optimal SMC of Markovian Jump Singular Systems with Time
Delay 49 3.1 Introduction 49 3.2 System Description and Preliminaries 50 3.3 Bounded L2 Gain Performance Analysis 51 3.4 Main Results 54 3.4.1 Sliding Mode Dynamics Analysis 54 3.4.2 SMC Law Design 58 3.5 Illustrative Example 59 3.6 Conclusion 62 4 SMC of Markovian Jump Singular Systems with Stochastic Perturbation 63 4.1 Introduction 63 4.2 System Description and Preliminaries 64 4.3 Integral SMC 65 4.3.1 Sliding Mode Dynamics Analysis 65 4.3.2 SMC Law Design 67 4.4 Optimal H infinity Integral SMC 69 4.4.1 Performance Analysis and SMC Law Design 69 4.4.2 Computational Algorithm 74 4.5 Illustrative Example 75 4.6 Conclusion 80 Part Two SMC of Switched State
Delayed Hybrid Systems 81 5 Stability and Stabilization of Switched State
Delayed Hybrid Systems 83 5.1 Introduction 83 5.2 Continuous
Time Systems 84 5.2.1 System Description 84 5.2.2 Main Results 85 5.2.3 Illustrative Example 89 5.3 Discrete
Time Systems 90 5.3.1 System Description 90 5.3.2 Main Results 91 5.3.3 Illustrative Example 97 5.4 Conclusion 100 6 Optimal DOF Control of Switched State
Delayed Hybrid Systems 101 6.1 Introduction 101 6.2 Optimal L2
L infinity DOF Controller Design 102 6.2.1 System Description and Preliminaries 102 6.2.2 Main Results 103 6.2.3 Illustrative Example 113 6.3 Guaranteed Cost DOF Controller Design 117 6.3.1 System Description and Preliminaries 117 6.3.2 Main Results 118 6.3.3 Illustrative Example 127 6.4 Conclusion 131 7 SMC of Switched State
Delayed Hybrid Systems: Continuous
Time Case 133 7.1 Introduction 133 7.2 System Description and Preliminaries 134 7.3 Main Results 134 7.3.1 Sliding Mode Dynamics Analysis 134 7.3.2 SMC Law Design 138 7.4 Illustrative Example 142 7.5 Conclusion 148 8 SMC of Switched State
Delayed Hybrid Systems: Discrete
Time Case 149 8.1 Introduction 149 8.2 System Description and Preliminaries 150 8.3 Main Results 151 8.3.1 Sliding Mode Dynamics Analysis 151 8.3.2 SMC Law Design 157 8.4 Illustrative Example 158 8.5 Conclusion 161 Part Three SMC of Switched Stochastic Hybrid Systems 163 9 Control of Switched Stochastic Hybrid Systems: Continuous
Time Case 165 9.1 Introduction 165 9.2 System Description and Preliminaries 166 9.3 Stability Analysis and Stabilization 168 9.4 H infinity Control 172 9.4.1 H infinity Performance Analysis 172 9.4.2 State Feedback Control 174 9.4.3 H infinity DOF Controller Design 175 9.5 Illustrative Example 178 9.6 Conclusion 183 10 Control of Switched Stochastic Hybrid Systems: Discrete
Time Case 185 10.1 Introduction 185 10.2 System Description and Preliminaries 185 10.3 Stability Analysis and Stabilization 187 10.4 H infinity Control 192 10.5 Illustrative Example 196 10.6 Conclusion 200 11 State Estimation and SMC of Switched Stochastic Hybrid Systems 201 11.1 Introduction 201 11.2 System Description and Preliminaries 201 11.3 Main Results 203 11.3.1 Sliding Mode Dynamics Analysis 203 11.3.2 SMC Law Design 204 11.4 Observer
Based SMC Design 205 11.5 Illustrative Example 209 11.6 Conclusion 215 12 SMC with Dissipativity of Switched Stochastic Hybrid Systems 217 12.1 Introduction 217 12.2 Problem Formulation and Preliminaries 218 12.2.1 System Description 218 12.2.2 Dissipativity 219 12.3 Dissipativity Analysis 220 12.4 Sliding Mode Control 224 12.4.1 Sliding Mode Dynamics 224 12.4.2 Sliding Mode Dynamics Analysis 226 12.4.3 SMC Law Design 228 12.5 Illustrative Example 229 12.6 Conclusion 233 References 235 Index 263