Robust filtering for uncertain systems : a parameter-dependent approach / Huijun Gao, Xianwen Li.
2014
TJ217.2
Linked e-resources
Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks
Details
Title
Robust filtering for uncertain systems : a parameter-dependent approach / Huijun Gao, Xianwen Li.
Author
Gao, Huijun, author.
ISBN
9783319059037 (electronic book)
3319059033 (electronic book)
9783319059020
3319059025
3319059033 (electronic book)
9783319059020
3319059025
Published
Cham ; New York : Springer, 2014.
Language
English
Description
1 online resource.
Other Standard Identifiers
10.1007/978-3-319-05903-7 doi
Call Number
TJ217.2
Dewey Decimal Classification
629.8312
Summary
This monograph provides the reader with a systematic treatment of robust filter design, a key issue in systems, control and signal processing, because of the fact that the inevitable presence of uncertainty in system and signal models often degrades the filtering performance and may even cause instability. The methods described are therefore not subject to the rigorous assumptions of traditional Kalman filtering. The monograph is concerned with robust filtering for various dynamical systems with parametric uncertainties, and focuses on parameter-dependent approaches to filter design. Classical filtering schemes, like H2 filtering and H[infinity] filtering, are addressed, and emerging issues such as robust filtering with constraints on communication channels and signal frequency characteristics are discussed. The text features: · design approaches to robust filters arranged according to varying complexity level, and emphasizing robust filtering in the parameter-dependent framework for the first time; · guidance on the use of special realistic phenomena or factors to describe problems more accurately and to improve filtering performance; · a unified linear matrix inequality formulation of design approaches for easy and effective filter design; · demonstration of the techniques of matrix decoupling technique, the generalized Kalman-Yakubovich-Popov lemma, the free weighting matrix technique, and the delay modelling approach, in robust filtering; · numerous easy-to-follow simulation examples, graphical and tabular illustrations to help the reader understand the filter design approaches developed; and · an account of emerging issues on robust filtering for research to inspire future investigation. Robust Filtering for Uncertain Systems will be of interest to academic researchers specializing in linear, robust and optimal control and estimation and to practitioners working in tracking and network control or signal filtering, detection and estimation. Graduate students learning control and systems theory, signal processing or applied mathematics will also find the book to be a valuable resource. The Communications and Control Engineering series reports major technological advances which have potential for great impact in the fields of communication and control. It reflects research in industrial and academic institutions around the world so that the readership can exploit new possibilities as they become available.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Added Author
Li, Xianwen, author.
Series
Communications and control engineering.
Available in Other Form
Robust filtering for uncertain systems
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Introduction
Part I Quadratic and Parameter-Dependent Filter Design
Quadratic Robust Filter Design
Parameter-Dependent Robust Filter Design
Part II Robust Filtering for Time-Delay Systems and 2-D Systems
Robust Filtering for Continuous-Time Time-Delay Systems
Robust Filtering for Discrete-Time Time-Delay Systems
Robust Filtering for Uncertain 2-D Systems
Part III New Problems in Robust Filtering
Robust Estimation with Limited Communication Capacity
Finite-Frequency H-infinity Filtering for Time-Delay Systems
Conclusion.
Part I Quadratic and Parameter-Dependent Filter Design
Quadratic Robust Filter Design
Parameter-Dependent Robust Filter Design
Part II Robust Filtering for Time-Delay Systems and 2-D Systems
Robust Filtering for Continuous-Time Time-Delay Systems
Robust Filtering for Discrete-Time Time-Delay Systems
Robust Filtering for Uncertain 2-D Systems
Part III New Problems in Robust Filtering
Robust Estimation with Limited Communication Capacity
Finite-Frequency H-infinity Filtering for Time-Delay Systems
Conclusion.