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: <ul>
<li>Covers new concepts, new models and new methodologies with theoretical significance in system analysis and control synthesis</li> <li>Includes recent advances in Markovian jump systems, switched hybrid systems, singular systems, stochastic systems and time-delay systems</li> <li>Includes solved problems</li> <li>Introduces advanced techniques</li> </ul>
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.

Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems (Wiley Series in Dynamics and Control of Electromechanical Systems)

Computers & Technology

Shi, Peng

Wu, Ligang

Su, Xiaojie

Computer Science

wiley

Security of Cyber-Physical Systems: State Estimation and Control (Studies in Systems, Decision and Control)

Wu, Chengwei

Yao, Weiran

Sun, Guanghui

Reference

Springer

Advanced Control Methodologies For Power Converter Systems (Studies in Systems, Decision and Control)

Luo, Wensheng

Yin, Yunfei

Shao, Xiangyu

Liu, Jianxing

Robust Control Strategies for Power Electronics in Smart Grid Applications (Lecture Notes in Electrical Engineering, 1034)

Engineering & Transportation

Liu, Lei

Lin, Hao

Hu, Zhijian

Engineering

This book focuses on filtering, control and model-reduction problems for two-dimensional (2-D) systems with imperfect information. The time-delayed 2-D systems covered have system parameters subject to uncertain, stochastic and parameter-varying changes.After an initial introduction of 2-D systems and the ideas of linear repetitive processes, the text is divided into two parts detailing:· General theory and methods of analysis and optimal synthesis for 2-D systems; and· Application of the general theory to the particular case of differential/discrete linear repetitive processes.The methods developed provide a framework for stability and performance analysis, optimal and robust controller and filter design and model approximation for the systems considered. Solutions to the design problems are couched in terms of linear matrix inequalities.For readers interested in the state of the art in linear filtering, control and model reduction, Filtering and Control for Classes of Two-Dimensional Systems will be a useful reference for exploring the field of 2-D systems either from a purely theoretical research perspective or from the point of view of a multitude of potential applications including image processing, and the study of seismographic data or thermal processes.

Filtering and Control for Classes of Two-Dimensional Systems (Studies in Systems, Decision and Control, 18)

Wang, Zidong

This book presents up-to-date research developments and novel methodologies on fuzzy control systems. It presents solutions to a series of problems with new approaches for the analysis and synthesis of fuzzy time-delay systems and fuzzy stochastic systems, including stability analysis and stabilization, dynamic output feedback control, robust filter design, and model approximation. A set of newly developed techniques such as fuzzy Lyapunov function approach, delay-partitioning, reciprocally convex, cone complementary linearization approach are presented. Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Fuzzy Control Systems with Time-Delay and Stochastic Perturbation: Analysis and Synthesis (Studies in Systems, Decision and Control, 12)

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems

Li, Hongyi

Lam, Hak-Keung

Gao, Yabin

This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties.

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