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Stability analysis of Markovian jump...
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Kang, Yu.
Stability analysis of Markovian jump systems
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Stability analysis of Markovian jump systemsby Yu Kang, Yun-Bo Zhao, Ping Zhao.
作者:
Kang, Yu.
其他作者:
Zhao, Yun-Bo.
出版者:
Singapore :Springer Singapore :2018.
面頁冊數:
xiv, 193 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Jump processes.
電子資源:
http://dx.doi.org/10.1007/978-981-10-3860-0
ISBN:
9789811038600$q(electronic bk.)
Stability analysis of Markovian jump systems
Kang, Yu.
Stability analysis of Markovian jump systems
[electronic resource] /by Yu Kang, Yun-Bo Zhao, Ping Zhao. - Singapore :Springer Singapore :2018. - xiv, 193 p. :ill., digital ;24 cm.
Introduction to Markovian Jump Systems -- Robust Stochastic Stability -- Imprecise Jumping Parameters -- Nonlinear Markovian Jump Systems -- Practical Stability -- Networked Control Systems -- Applications Based on the Markov Jump Theory.
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a modelling tool for networked control systems, Markovian-based control for wheeled mobile manipulators and the jump-linear-quadratic (JLQ) problem of a class of continuous-time MJLSs. It is a valuable resource for researchers and graduate students in the field of control theory and engineering.
ISBN: 9789811038600$q(electronic bk.)
Standard No.: 10.1007/978-981-10-3860-0doiSubjects--Topical Terms:
242045
Jump processes.
LC Class. No.: QA274.755 / .K36 2018
Dewey Class. No.: 519.233
Stability analysis of Markovian jump systems
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Introduction to Markovian Jump Systems -- Robust Stochastic Stability -- Imprecise Jumping Parameters -- Nonlinear Markovian Jump Systems -- Practical Stability -- Networked Control Systems -- Applications Based on the Markov Jump Theory.
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