Robust Filtering for Uncertain Systems

A Parameter-Dependent Approach

  • Huijun Gao
  • Xianwei Li

Part of the Communications and Control Engineering book series (CCE)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Huijun Gao, Xianwei Li
    Pages 1-22
  3. Quadratic and Parameter-Dependent Filter Design

    1. Front Matter
      Pages 23-23
    2. Huijun Gao, Xianwei Li
      Pages 25-81
    3. Huijun Gao, Xianwei Li
      Pages 83-121
  4. Robust Filtering for Time-Delay Systems and 2-D Systems

    1. Front Matter
      Pages 123-123
    2. Huijun Gao, Xianwei Li
      Pages 125-141
    3. Huijun Gao, Xianwei Li
      Pages 143-163
    4. Huijun Gao, Xianwei Li
      Pages 165-186
  5. New Problems in Robust Filtering

    1. Front Matter
      Pages 187-187
    2. Huijun Gao, Xianwei Li
      Pages 189-218
    3. Huijun Gao, Xianwei Li
      Pages 245-250
  6. Back Matter
    Pages 251-253

About this book


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¥ 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.


H-infinity Filtering Linear Matrix Inequalities LMI Parameter-dependent Lyapunov Functions Parametric Uncertainty Robust Filtering State Estimation

Authors and affiliations

  • Huijun Gao
    • 1
  • Xianwei Li
    • 2
  1. 1.Research Institute of Intelligent Control and SystemsHarbin Institute of TechnologyHarbinChina
  2. 2.Research Institute of Intelligent Control and SystemsHarbin Institute of TechnologyHarbinChina

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05902-0
  • Online ISBN 978-3-319-05903-7
  • Series Print ISSN 0178-5354
  • Series Online ISSN 2197-7119
  • Buy this book on publisher's site
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