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Sliding modes in control and optimization. Transl. from the Russian. (English) Zbl 0748.93044
Communications and Control Engineering Series. Berlin etc.: Springer- Verlag. xvi, 286 p. with 24 fig. (1992).
The book addresses the behavior of discontinuous dynamic systems described by the equation \(\dot x=f(x,t)\), where \(x\) is a state vector in \({\mathfrak R}^ n\), \(t\) is time, and \(f(x,t)\) has discontinuities at a certain set within the \((n+1)\)-dimensional space \((x,t)\). The motion of such systems on discontinuity surfaces, called sliding mode, has properties useful for system linearization, reduction of the system differential equation order, and designing high-accuracy follow-up and stabilization systems. The book considers, from a control-theoretic viewpoint, the mathematical and application aspects of the theory of discontinuous dynamic systems and determine their place within the scope of the present-day control theory. The book follows a regularization approach to the sliding modes analysis through the introduction of a boundary layer. The book consists of 3 parts. Part 1 of 5 chapters is on mathematical tools and covers a wide range of topics on the theory of sliding modes. The topics include the regularization and the uniqueness problems, stability and robustness of discontinuous systems. Part 2 of 10 chapters, the major focus in the book, addresses control systems design methods. The topics covered in that part include decoupling in systems with discontinuous control, control of distributed-parameter plants, eigenvalue allocation, system optimization, and observation and filtering. Part 2 not only presents important results on design of discontinuous control systems, but also relates these results to the present-day control theory. Part 3 of 3 chapters is devoted to applications and provides numerous practical examples, such as the control of a robot arm and the control of electric motors. The book is theoretical and formal, and can be invaluable to researchers in control theory, physics and applied mathematics.

MSC:
93C10 Nonlinear systems in control theory
93C15 Control/observation systems governed by ordinary differential equations
93C41 Control/observation systems with incomplete information
93D09 Robust stability
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