Robust Filtering for Uncertain Systems

Name: Robust Filtering for Uncertain Systems
Brand: Springer International Publishing AG
SKU: 9783319059020
Price: 582.46 RON
Availability: InStock

A Parameter-Dependent Approach

Autor: Huijun Gao, Xianwei Li

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Legare: Copertă tare

Editura: Springer International Publishing AG

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This monograph provides the reader with a systematic treatment of robust filter design, a key issue...

Informații despre carte

Autor

Huijun Gao, Xianwei Li

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2014

Pagini

253

EAN

9783319059020

ISBN

3319059025

Enbook ID

02530111

Editura

Springer International Publishing AG

Greutate

5817

Dimensiuni

155 x 235 x 16

Descriere completă

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 H 2 filtering and H Yen 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.§

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Robust Filtering for Uncertain Systems

A Parameter-Dependent Approach

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