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Analysis and Design of Markov Jump Systems with Complex Transition Probabilities

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Analysis and Design of Markov Jump Systems with Complex Transition Probabilities/ by Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu.
作者:	Zhang, Lixian.
其他作者:	Yang, Ting.
面頁冊數:	XVI, 263 p. 47 illus., 39 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-28847-5
ISBN:	9783319288475

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities
Zhang, Lixian.

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities[electronic resource] /by Lixian Zhang, Ting Yang, Peng Shi, Yanzheng Zhu. - 1st ed. 2016. - XVI, 263 p. 47 illus., 39 illus. in color.online resource. - Studies in Systems, Decision and Control,542198-4182 ;. - Studies in Systems, Decision and Control,27.

Introduction -- Part I Partially Unknown TPs -- Part II Piecewise Homogeneous TPs.-Part III Memory TPs.

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.

ISBN: 9783319288475

Standard No.: 10.1007/978-3-319-28847-5doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Analysis and Design of Markov Jump Systems with Complex Transition Probabilities
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