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Filtering and control of stochastic ...

Yao, Xiuming.

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Filtering and control of stochastic jump hybrid systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Filtering and control of stochastic jump hybrid systems/ by Xiuming Yao, Ligang Wu, Wei Xing Zheng.
作者:	Yao, Xiuming.
其他作者:	Wu, Ligang.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xix, 212 p. :ill., digital ;24 cm.
內容註:	Introduction -- Part I Robust Filtering -- Part II Robust Control.
Contained By:	Springer eBooks
標題:	Jump processes. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-31915-5
ISBN:	9783319319155

Filtering and control of stochastic jump hybrid systems
Yao, Xiuming.

Filtering and control of stochastic jump hybrid systems[electronic resource] /by Xiuming Yao, Ligang Wu, Wei Xing Zheng. - Cham :Springer International Publishing :2016. - xix, 212 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.582198-4182 ;. - Studies in systems, decision and control ;v.3..

Introduction -- Part I Robust Filtering -- Part II Robust Control.

This book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs) Based on the derived analysis conditions, the filtering and control problems are addressed. The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs. The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

ISBN: 9783319319155

Standard No.: 10.1007/978-3-319-31915-5doiSubjects--Topical Terms:

751712
Jump processes.

LC Class. No.: QA274.755

Dewey Class. No.: 519.233

Filtering and control of stochastic jump hybrid systems
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520 $a This book presents recent research work on stochastic jump hybrid systems. Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems. Some sufficient conditions are first established respectively for the stability and performances of those kinds of stochastic jump hybrid systems in terms of solution of linear matrix inequalities (LMIs) Based on the derived analysis conditions, the filtering and control problems are addressed. The book presents up-to-date research developments and novel methodologies on stochastic jump hybrid systems. The contents can be divided into two parts: the first part is focused on robust filter design problem, while the second part is put the emphasis on robust control problem. These methodologies provide a framework for stability and performance analysis, robust controller design, and robust filter design for the considered systems. Solutions to the design problems are presented in terms of LMIs. The book is a timely reflection of the developing area of filtering and control theories for Markovian jump hybrid systems with various kinds of imperfect information. It is a collection of a series of latest research results and therefore serves as a useful textbook for senior and/or graduate students who are interested in knowing 1) the state-of-the-art of linear filtering and control areas, and 2) recent advances in stochastic jump hybrid systems. The readers will also benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.
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