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.
O autorze
Ligang Wu received the Ph D degree in Control Theory and
Control 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 Research
Associate at City University of Hong Kong, Hong Kong. Now, he is a
Professor of Control Science and Engineering at Harbin Institute of
Technology, Harbin, China. Prof. Wu’s current research
interests include sliding mode control, switched hybrid systems,
optimal control and filtering, aircraft control, and model
reduction.
Prof. Wu has been in the editorial board of a number of
international journals, including IEEE Transactions on Automatic
Control, IEEE Access, Information Sciences, Signal Processing, IET
Control Theory and Applications, Circuits Systems and Signal
Processing, Multidimensional Systems and Signal Processing, and
Neurocomputing. He is also an Associate Editor for the Conference
Editorial Board, IEEE Control Systems Society.
Peng Shi received the Ph D degree in Electrical
Engineering from the University of Newcastle, Australia; the Ph D
degree in Mathematics from the University of South Australia; and
the DSc degree from the University of Glamorgan, UK. He was a
lecturer at the University of South Australia; a senior scientist
in the Defence Science and Technology Organisation, Australia; and
a professor at the University of Glamorgan, UK. Now, he is a
professor at The University of Adelaide; and Victoria University,
Australia. Prof. Shi’s research interests include system and
control theory, computational intelligence, and operational
research.
Prof. Shi is a Fellow of the Institution of Engineering and
Technology, and a Fellow of the Institute of Mathematics and its
Applications. He has been in the editorial board of a number of
international journals, including IEEE Transactions on Automatic
Control; Automatica; IEEE Transactions on Fuzzy Systems; IEEE
Transactions on Cybernetics; and IEEE Transactions on Circuits and
Systems-I.
Xiaojie Su was born in Henan, China, in 1985. He received
the B.E. degree in automation from Jiamusi University, Jiamusi,
China, in 2008, the M.S. degree in Control Science and Engineering
from Harbin Institute of Technology, Harbin, China, in 2010, and
the Ph D degree in Control Science and Engineering from Harbin
Institute of Technology, Harbin, China, in 2013. Currently, he is a
Professor of College of Automation at Chongqing University,
Chongqing, China. His research interests include sliding mode
control, robust filtering, T-S fuzzy systems, and model reduction.
As a Guest Editor, he has organized two special issues in
Mathematical Problems in Engineering and Abstract and Applied
Analysis, respectively.
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