Analysis and Design for Positive Stochastic Jump Systems

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2022-09-19

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Description
The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.
Pages
195 pages
Collection
Studies in Systems, Decision and Control
Parution
2022-09-19
Marque
Springer
EAN papier
9789811954894
EAN PDF
9789811954900

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
5048 Ko
Prix
94,94 €
EAN EPUB
9789811954900

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
24781 Ko
Prix
94,94 €