Fuzzy Algorithms for Control

Author:   H. B. Verbruggen ,  Hans-Jürgen Zimmermann ,  Robert Babuška
Publisher:   Springer
Edition:   1999 ed.
Volume:   14
ISBN:  

9780792384618


Pages:   352
Publication Date:   28 February 1999
Format:   Hardback
Availability:   In Print   Availability explained
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Fuzzy Algorithms for Control


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Overview

This text gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modelling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzzy systems in control engineering and in the AI community. State-of-the-art surveys on fuzzy modelling and control are presented along with a critical assessment of the role of these methodologists in control engineering. The second part is concerned with several analysis and design issues in fuzzy control systems. The analytical issues addressed include the algebraic representation of fuzzy models of different types, their approximation properties, and stability analysis of fuzzy control systems. Several design aspects are addressed, including performance specification for control systems in a fuzzy decision-making framework and complexity reduction in multivariable fuzzy systems. In the third part of the book, a number of applications of fuzzy control are presented. It is shown that fuzzy control in combination with other techniques such as fuzzy data analysis is an effective approach to the control of modern processes which present many challenges for the design of control systems. One has to cope with problems such as process nonlinearity, time-varying characteristics for incomplete process knowledge. Examples of real-world industrial applications presented in this book are a blast furnace, a lime kiln and a solar plant. Other examples of challenging problems in which fuzzy logic plays an important role and which are included in this book are mobile robotics and aircraft control. The aim of this book is to address both theoretical and practical subjects in a balanced way. It should therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice.

Full Product Details

Author:   H. B. Verbruggen ,  Hans-Jürgen Zimmermann ,  Robert Babuška
Publisher:   Springer
Imprint:   Springer
Edition:   1999 ed.
Volume:   14
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   1.530kg
ISBN:  

9780792384618


ISBN 10:   079238461
Pages:   352
Publication Date:   28 February 1999
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

I The Position and State of The Art of Fuzzy Systems.- 1 Fuzzy Systems in Control Engineering.- 2 Fuzzy Logic, Control Engineering and Artificial Intelligence.- 3 Fuzzy Control Versus Conventional Control.- 4 Data-Driven Construction of Transparent Fuzzy Models.- II Design and Analysis Issues.- 5 Fuzzy Logic Normal Forms for Control Law Representation.- 6 Stability Analysis of Fuzzy Control Loops.- 7 Performance Criteria: Classical and Fuzzy Design.- 8 Complexity Reduction Methods for Fuzzy Systems.- III Application of Fuzzy Systems.- 9 Intelligent Data Analysis and Fuzzy Control.- 10 Fuzzy Control in Process Industry.- 11 Fuzzy Logic Applications in Mobile Robotics.- 12 Enhancing Flight Control using Fuzzy Logic.

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