Linear Systems
Non-Fragile Control and Filtering
Published on 19. December 2017
288 pages
978-1-351-83181-9 (ISBN)
Description
Linear Systems: Non-Fragile Control and Filtering presents the latest research results and a systematic approach to designing non-fragile controllers and filters for linear systems. The authors combine the algebraic Riccati technique, the linear matrix inequality (LMI) technique, and the sensitivity analysis method to establish a set of new non-fragile (insensitive) control methods. This proposed method can optimize the closed-loop system performance and make the designed controllers or filters tolerant of coefficient variations in controller or filter gain matrices.
A Systematic Approach to Designing Non-Fragile Controllers and Filters for Linear Systems
The text begins with developments and main research methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect to additive/multiplicative controller/filter gain uncertainties. The book introduces the algebraic Riccati equation technique to solve additive/multiplicative norm-bounded controller/filter gain uncertainty, and proposes a structured vertex separator to deal with the numerical problem resulting from interval-bounded coefficient variations. It also explains how to design insensitive controllers and filters in the framework of coefficient sensitivity theory. Throughout, the book includes numerical examples to demonstrate the effectiveness of the proposed design methods.
More Effective Design Methods for Non-Fragile Controllers and Filters
The design and analysis tools described will help readers to better understand and analyze parameter uncertainties and to design more effective non-fragile controllers and filters. Providing a coherent approach, this book is a valuable reference for researchers, graduate students, and anyone who wants to explore the area of non-fragile control and filtering.
A Systematic Approach to Designing Non-Fragile Controllers and Filters for Linear Systems
The text begins with developments and main research methods in non-fragile control. It then systematically presents novel methods for non-fragile control and filtering of linear systems with respect to additive/multiplicative controller/filter gain uncertainties. The book introduces the algebraic Riccati equation technique to solve additive/multiplicative norm-bounded controller/filter gain uncertainty, and proposes a structured vertex separator to deal with the numerical problem resulting from interval-bounded coefficient variations. It also explains how to design insensitive controllers and filters in the framework of coefficient sensitivity theory. Throughout, the book includes numerical examples to demonstrate the effectiveness of the proposed design methods.
More Effective Design Methods for Non-Fragile Controllers and Filters
The design and analysis tools described will help readers to better understand and analyze parameter uncertainties and to design more effective non-fragile controllers and filters. Providing a coherent approach, this book is a valuable reference for researchers, graduate students, and anyone who wants to explore the area of non-fragile control and filtering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Product notice
Reflowable
Illustrations
28 Tables, black and white; 31 Illustrations, black and white
File size
13,44 MB
ISBN-13
978-1-351-83181-9 (9781351831819)
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
Book
03/2017
1st Edition
CRC Press
€123.10
Shipment within 10-20 days
Book
03/2013
1st Edition
CRC Press
€326.83
Article not available at the moment
Persons
Guang-Hong Yang is currently a professor and director of the Institute of Control Theory and Navigation Technology at the College of Information Science and Engineering, Northeastern University, China. His research interests include fault tolerant control, fault detection and isolation, non-fragile control systems design, robust control, networked control, nonlinear control, and flight control systems. Dr. Yang has published more than 200 fully-refereed papers in technical journals and conference proceedings and has coauthored two books. He is an associate editor for the IEEE Transactions on Fuzzy Systems and the International Journal of Systems Science (IJSS). He is the chair of the IEEE Harbin Section Control Systems Society Chapter and general chair/program chair of the Chinese Control and Decision Conference (CCDC) (2008-2013).
Xiang-Gui Guo is a lecturer in the School of Electrical Engineering at Tianjin University of Technology, China. His research interests include insensitive control, non-fragile control, reliable control, and their applications to flight control systems design.
Wei-Wei Che is currently an associate professor at Shenyang University, China. She is a member of the IEEE. Her research interest includes non-fragile control, quantization control, and their applications to networked control system design.
Wei Guan is a lecturer in the School of Automation at Shenyang Aerospace University, China. His research interests include non-fragile control, actuator saturation, and state constraints.
Xiang-Gui Guo is a lecturer in the School of Electrical Engineering at Tianjin University of Technology, China. His research interests include insensitive control, non-fragile control, reliable control, and their applications to flight control systems design.
Wei-Wei Che is currently an associate professor at Shenyang University, China. She is a member of the IEEE. Her research interest includes non-fragile control, quantization control, and their applications to networked control system design.
Wei Guan is a lecturer in the School of Automation at Shenyang Aerospace University, China. His research interests include non-fragile control, actuator saturation, and state constraints.
Content
Introduction. Preliminaries. Non-Fragile State Feedback Control with Norm-Bounded Gain Uncertainty. Non-Fragile Dynamic Output Feedback Control with Norm-Bounded Gain. Robust Non-Fragile Kalman Filtering with Norm-Bounded Gain Uncertainty. Non-Fragile Output Feedback Control with Interval-Bounded Coefficient Variations. Non-Fragile H? Filtering with Interval-Bounded Coefficient Variations. Insensitive H? Filtering of Continuous-Time Systems. Insensitive H? Filtering of Delta Operator Systems. Insensitive H? Output Tracking Control. Insensitive H? Dynamic Output Feedback Control. Bibliography. Index.
