Editors:
Part of the book series: International Series in Intelligent Technologies (ISIT, volume 14)
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Table of contents (12 chapters)
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Front Matter
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The Position and State of the Art of Fuzzy Systems
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Front Matter
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Back Matter
About this book
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 modeling 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 will therefore be useful for readers from the academic world and also from industry who want to apply fuzzy control in practice.
Editors and Affiliations
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Delft University of Technology, Netherlands
H. B. Verbruggen, R. Babuška
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RWTH Aachen, Aachen, Germany
H.-J. Zimmermann
Bibliographic Information
Book Title: Fuzzy Algorithms for Control
Editors: H. B. Verbruggen, H.-J. Zimmermann, R. Babuška
Series Title: International Series in Intelligent Technologies
DOI: https://doi.org/10.1007/978-94-011-4405-6
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1999
Hardcover ISBN: 978-0-7923-8461-8Published: 28 February 1999
Softcover ISBN: 978-94-010-5893-3Published: 13 November 2012
eBook ISBN: 978-94-011-4405-6Published: 09 March 2013
Series ISSN: 1382-3434
Edition Number: 1
Number of Pages: XIII, 352
Topics: Mathematical Logic and Foundations, Operations Research/Decision Theory, Calculus of Variations and Optimal Control; Optimization