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Analysis and design of Markov jump systems with complex transition probabilities [[electronic resource] /] / by Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu



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Autore: Zhang Lixian Visualizza persona
Titolo: Analysis and design of Markov jump systems with complex transition probabilities [[electronic resource] /] / by Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (268 p.)
Disciplina: 620
Soggetto topico: Control engineering
Computational complexity
System theory
Statistical physics
Control and Systems Theory
Complexity
Systems Theory, Control
Applications of Nonlinear Dynamics and Chaos Theory
Persona (resp. second.): YangTing
ShiPeng
ZhuYanzheng
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: Introduction -- Part I Partially Unknown TPs -- Part II Piecewise Homogeneous TPs.-Part III Memory TPs.
Sommario/riassunto: The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the case involved with both partially unknown TPs and uncertain TPs in a composite way are also tackled. Part II deals with the Markov jump systems with piecewise homogeneous TPs. Methodologies that can effectively handle control problems in the scenario are developed, including the one coping with the asynchronous switching phenomenon between the currently activated system mode and the controller/filter to be designed. Part III focuses on the Markov jump systems with memory TPs. The concept of σ-mean square stability is proposed such that the stability problem can be solved via a finite number of conditions. The systems involved with nonlinear dynamics (described via the Takagi-Sugeno fuzzy model) are also investigated. Numerical and practical examples are given to verify the effectiveness of the obtained theoretical results. Finally, some perspectives and future works are presented to conclude the book.
Titolo autorizzato: Analysis and Design of Markov Jump Systems with Complex Transition Probabilities  Visualizza cluster
ISBN: 3-319-28847-4
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910254247903321
Lo trovi qui: Univ. Federico II
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Serie: Studies in Systems, Decision and Control, . 2198-4182 ; ; 54