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.
Offers insightful views on specific topics of MJSs
Addresses the stability of general MJSs and its applications in several areas
Studies nonlinear MJSs and robust stochastic stability
Yu Kang
Markov Jump Systems Networked Control Systems Markov Chain Robust Stochastic Stability Asynchronous Switching Practical Stability
“This book presents the results of investigation of the stability problem of Markovian jump systems. The systems under consideration include time-varying delay and time-varying transition rates. … This book is a valuable resource for researchers and graduate students in the field of control theory and engineering.” (Mikhail P. Moklyachuk, zbMath 1416.93003, 2019)