Автор: Kang, Y., Zhao, Y., Zhao, P.
Название: Stability Analysis of Markovian Jump Systems
Издательство: Springer
Год: 2018
ISBN: 9789811038600
Язык: English
Формат: pdf
Размер: 5,1 mb
Страниц: XVI, 193
Markovian jump systems typically consist of a finite number of subsystems and a jumping law governing the active/deactivate mode switches among these subsystems. The subsystems are usually modeled as differential/difterence equations, and the jumping law is a continuous-time/discrete-time Markov chain. Markovian jump systems are a powerful modeling tool in many engineering areas.
This book discusses the stability analysis of different Markovian jump systems as well as some applications. This book is written primarily tor postgraduate students in control theory and applications, and can also be useful tor the researchers and engineers in this area. In order to use this book, the reader should have the basic knowledge on linear control theory, matrix analysis, optimization techniques, probability and stochastic processes.
Introduction to Markovian Jump Systems
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Robust Stochastic Stability
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System with Imprecise Jumping Parameters
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Nonlinear Markovian Jump Systems
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Practical Stability
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Networked Control System: A Markovian Jump System Approach
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Applications Based on the Markov Jump Theory
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Stability Analysis of Markovian Jump Systems 
