Kang, Yu.
Stability Analysis of Markovian Jump Systems [electronic resource] / by Yu Kang, Yun-Bo Zhao, Ping Zhao. - 1st ed. 2018. - XVI, 193 p. 37 illus., 32 illus. in color. online resource.
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.
9789811038600
10.1007/978-981-10-3860-0 doi
Control engineering.
System theory.
Control theory.
Mathematical models.
Control and Systems Theory.
Systems Theory, Control .
Mathematical Modeling and Industrial Mathematics.
TJ212-225
629.8312 003
Stability Analysis of Markovian Jump Systems [electronic resource] / by Yu Kang, Yun-Bo Zhao, Ping Zhao. - 1st ed. 2018. - XVI, 193 p. 37 illus., 32 illus. in color. online resource.
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.
9789811038600
10.1007/978-981-10-3860-0 doi
Control engineering.
System theory.
Control theory.
Mathematical models.
Control and Systems Theory.
Systems Theory, Control .
Mathematical Modeling and Industrial Mathematics.
TJ212-225
629.8312 003