Wu / Shi / Su | Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems | E-Book | sack.de
E-Book

E-Book, Englisch, 288 Seiten, E-Book

Reihe: Wiley Series in Dynamics and Control of Electromechanical Systems

Wu / Shi / Su Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems


1. Auflage 2014
ISBN: 978-1-118-86262-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 288 Seiten, E-Book

Reihe: Wiley Series in Dynamics and Control of Electromechanical Systems

ISBN: 978-1-118-86262-9
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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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Weitere Infos & Material


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.



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