Stability Analysis of Markovian Jump Systems / by Yu Kang, Yun-Bo Zhao, Ping Zhao.
Kang, Yu, author.; Zhao, Yun-Bo, author.; Zhao, Ping, author.
2018
TJ212-225
Available Online

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Title Stability Analysis of Markovian Jump Systems / by Yu Kang, Yun-Bo Zhao, Ping Zhao.
Author Kang, Yu, author.
ISBN 9789811038600
9811038600
9789811038594
9811038597
DOI https://doi.org/10.1007/978-981-10-3860-0
Published Singapore : Springer Singapore : Imprint : Springer, 2018.
Language English
Description 1 online resource (xiv, 193 pages) : illustrations.
Item Number 10.1007/978-981-10-3860-0 doi
Call Number TJ212-225
Dewey Decimal Classification 519.2/33
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Added Author Zhao, Yun-Bo, author.
Zhao, Ping, author.
Available in Other Form Print version: 9789811038594
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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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