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Analysis and design for positive sto...

Zong, Guangdeng.

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Analysis and design for positive stochastic jump systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis and design for positive stochastic jump systems/ by Wenhai Qi, Guangdeng Zong.
Author:	Qi, Wenhai.
other author:	Zong, Guangdeng.
Published:	Singapore :Springer Nature Singapore : : 2023.,
Description:	xiii, 195 p. :ill., digital ;24 cm.
[NT 15003449]:	Exponential stability and L1-gain analysis -- Stability and stabilization -- L1-gain and control synthesis -- Finite-time L1 control -- L1 control -- L∞ control -- Robust finite-time stabilization -- Fault detection -- Stochastic stability and L1-gain analysis -- Positive L1 observer design -- Filter design -- Conclusions and future research direction.
Contained By:	Springer Nature eBook
Subject:	Stochastic control theory. -
Online resource:	https://doi.org/10.1007/978-981-19-5490-0
ISBN:	9789811954900

Analysis and design for positive stochastic jump systems
Qi, Wenhai.

Analysis and design for positive stochastic jump systems[electronic resource] /by Wenhai Qi, Guangdeng Zong. - Singapore :Springer Nature Singapore :2023. - xiii, 195 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4502198-4190 ;. - Studies in systems, decision and control ;v. 450..

Exponential stability and L1-gain analysis -- Stability and stabilization -- L1-gain and control synthesis -- Finite-time L1 control -- L1 control -- L∞ control -- Robust finite-time stabilization -- Fault detection -- Stochastic stability and L1-gain analysis -- Positive L1 observer design -- Filter design -- Conclusions and future research direction.

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.

ISBN: 9789811954900

Standard No.: 10.1007/978-981-19-5490-0doiSubjects--Topical Terms:

647881
Stochastic control theory.

LC Class. No.: QA402.37

Dewey Class. No.: 629.8312

Analysis and design for positive stochastic jump systems
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300 $a xiii, 195 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 450
505 0 $a Exponential stability and L1-gain analysis -- Stability and stabilization -- L1-gain and control synthesis -- Finite-time L1 control -- L1 control -- L∞ control -- Robust finite-time stabilization -- Fault detection -- Stochastic stability and L1-gain analysis -- Positive L1 observer design -- Filter design -- Conclusions and future research direction.
520 $a 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.
650 0 $a Stochastic control theory. $3 647881
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950 $a Intelligent Technologies and Robotics (SpringerNature-42732)