Robust Control Via Variable Structure And Lyapunov Techniques

A large part of today's fervour on robust control research is focused on those techniques which utilise the Variable Structure Control Method and Lyapunov's Second Method, and which constitute the backbone of the so-called "deterministic" control of uncertain systems. The chapters of this book cover a large spectrum of the recent research and introduce the most innovative ideas in the field. Contained within the volume the reader will find: a survey of control Lyapunov functions; new structures of sliding mode controllers with discussion on higher order sliding modes; new techniques for the design of direct and indirect adaptive controllers; an introduction to the geometric theory of "flat" systems; controllers for plants with component-wise bounded inputs; robust design via linear matrix inequalities and polytopic covering; and some issues on the dissipativity and absolute stability of nonli near systems.

A large part of today's fervour on robust control research is focused on those techniques which utilise the Variable Structure Control Method and Lyapunov's Second Method, and which constitute the backbone of the so-called "deterministic" control of uncertain systems. The chapters of this book cover a large spectrum of the recent research and introduce the most innovative ideas in the field. Contained within the volume the reader will find: a survey of control Lyapunov functions; new structures of sliding mode controllers with discussion on higher order sliding modes; new techniques for the design of direct and indirect adaptive controllers; an introduction to the geometric theory of "flat" systems; controllers for plants with component-wise bounded inputs; robust design via linear matrix inequalities and polytopic covering; and some issues on the dissipativity and absolute stability of nonli near systems.

This softcover book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. The researcher who wishes to enter the field of robust nonlinear control could use this book as a source of new research topics. For those already active in the field, the book may serve as a reference to a recent body of significant work. Finally, the design engineer faced with a nonlinear control problem will benefit from the techniques presented here.

Control and Dynamic Systems: Advances in Theory and Applications, Volume 50: Robust Control System Techniques and Applications, Part 1 of 2 is a two-volume sequence devoted to the issues and application of robust control systems techniques. This volume is composed of 10 chapters and begins with a presentation of the important techniques for dealing with conflicting design objectives in control systems. The subsequent chapters describe the robustness techniques of systems using differential-difference equations; the design of a wide class of robust nonlinear systems, the techniques for dealing with the problems resulting from the use of observers in robust systems design, and the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties. These topics are followed by discussions of the effective techniques for the robust control on non-linear time varying of tracking control systems with uncertainties and for incorporating adaptive control techniques into a (non-adaptive) robust control design. Other chapters present techniques for achieving exponential and robust stability for a rather general class of nonlinear systems, techniques in modeling uncertain dynamics for robust control systems design, and techniques for the optimal synthesis of these systems. The last chapters provide a generalized eigenproblem solution for both singular and nonsingular system cases. These chapters also look into the stability robustness design for discrete-time systems. This book will be of value to process and systems engineers, designers, and researchers.

This is a unified collection of important recent results for the design of robust controllers for uncertain systems, primarily based on H8 control theory or its stochastic counterpart, risk sensitive control theory. Two practical applications are used to illustrate the methods throughout.

This coherent introduction to the theory and methods of robust control system design clarifies and unifies the presentation of significant derivations and proofs. The book contains a thorough treatment of important material of uncertainties and robust control otherwise scattered throughout the literature.

The book is a collection of contributions concerning the theories, applications and perspectives of Variable Structure Systems (VSS). Variable Structure Systems have been a major control design methodology for many decades. The term Variable Structure Systems was introduced in the late 1950’s, and the fundamental concepts were developed for its main branch Sliding Mode Control by Russian researchers Emelyanov and Utkin. The 20th Century has seen the formation and consolidation of VSS theory and its applications. It has also seen an emerging trend of cross-fertilization and integration of VSS with other control and non-control techniques such as feedback linearization, ?atness, passivity based control, adaptive and learning ? control, system identi?cation, pulse width modulation, H geometric and algebraic methods, arti?cial intelligence, modeling and optimization, neural networks, fuzzy logic, to name just a few. This trend will continue and ?ourish in the new millennium. To re?ect these major developments in the 20th Century, this book - cludes 16 specially invited contributions from well-known experts in VSS theory and applications, covering a wide range of topics. The ?rst chapter, “First Stage of VSS: People and Events” written by Vadim Utkin, the founder of VSS, oversees and documents the historical developments of VSS in the 20th Century, including many interesting events not known to the West until now. The second chapter, “An Integrated Learning Variable Structure Control Method” written by Jian-Xin Xu, addresses an important issue regarding control integration between variable structure control and learning control.