Stochastic H2/H ? Control: A Nash Game Approach
Published on 7. August 2017
388 pages
978-1-351-64397-9 (ISBN)
Description
The H? control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H? control, and studies more complex and practically useful mixed H2/H? controller synthesis rather than the pure H? control. Different from the commonly used convex optimization method, this book applies the Nash game approach to give necessary and sufficient conditions for the existence and uniqueness of the mixed H2/H? control. Researchers will benefit from our detailed exposition of the stochastic mixed H2/H? control theory, while practitioners can apply our efficient algorithms to address their practical problems.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
Illustrations
6 Tables, black and white; 19 Line drawings, black and white; 19 Illustrations, black and white
File size
2,78 MB
ISBN-13
978-1-351-64397-9 (9781351643979)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Weihai Zhang | Lihua Xie | Bor-Sen Chen
Stochastic H2/H ? Control: A Nash Game Approach
A Nash Game Approach
Book
06/2020
1st Edition
CRC Press
€73.40
Shipment within 15-20 days
Weihai Zhang | Lihua Xie | Bor-Sen Chen
Stochastic H2/H ? Control: A Nash Game Approach
A Nash Game Approach
Book
07/2017
1st Edition
CRC Press
€247.50
Shipment within 15-20 days
Persons
Weihai Zhang, Lihau Xie, Bor-Sen Chen
Content
Mathematical Preliminaries. Linear Continuous-Time Stochastic H2 ? H1 Control. Linear Discrete-Time Stochastic H2 ? H1 Control. H2 ? H1 Control for Linear Discrete Time-Varying Stochastic Systems. Linear Markovian Jump Systems with Multiplicative Noise. Nonlinear Continuous-Time Stochastic H1 and H2 ? H1 Controls. Nonlinear Stochastic H1 and H2 ? H1 Filtering. Some Further Research Topics in Stochastic H2 ? H1 Control. Index.
