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Record Nr. |
UNISA996418273203316 |
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Autore |
Utkin Vadim |
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Titolo |
Road Map for Sliding Mode Control Design [[electronic resource] /] / by Vadim Utkin, Alex Poznyak, Yury V. Orlov, Andrey Polyakov |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XIV, 127 p. 35 illus., 20 illus. in color.) |
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Collana |
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SpringerBriefs in Mathematics, , 2191-8198 |
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Disciplina |
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Soggetti |
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System theory |
Computer mathematics |
Computer engineering |
Electronic circuits |
Systems Theory, Control |
Computational Science and Engineering |
Computer Engineering |
Electronic Circuits and Devices |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Introduction -- 2 Mathematical Methods -- 3 Design Principles -- 4. Lyapunov stability tools for sliding modes -- 5 SM observers -- 6 Chattering Problem -- 7 High Order Sliding Mode Control -- 8 Discrete-Time Systems -- 9 Adaptive SMC -- 10 SMC in Infinite-dimensional Systems -- 11 Open Problems in SMC -- 12 Conclusions. |
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Sommario/riassunto |
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This book is devoted to control of finite and infinite dimensional processes with continuous-time and discrete time control, focusing on suppression problems and new methods of adaptation applicable for systems with sliding motions only. Special mathematical methods are needed for all the listed control tasks. These methods are addressed in the initial chapters, with coverage of the definition of the multidimensional sliding modes, the derivation of the differential equations of those motions, and the existence conditions. Subsequent chapters discusses various areas of further research. The book reflects the consensus view of the authors regarding the current status of SMC |
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theory. It is addressed to a broad spectrum of engineers and theoreticians working in diverse areas of control theory and applications. It is well suited for use in graduate and postgraduate courses in such university programs as Electrical Engineering, Control of Nonlinear Systems, and Mechanical Engineering. |
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