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portada Fuzzy Algorithms for Control
Type
Physical Book
Publisher
Language
Inglés
Pages
352
Format
Paperback
Dimensions
23.4 x 15.6 x 2.0 cm
Weight
0.52 kg.
ISBN13
9789401058933

Fuzzy Algorithms for Control

Verbruggen, H. B. ; Zimmermann, Hans-Jürgen ; Babuska, Robert (Author) · Springer · Paperback

Fuzzy Algorithms for Control - Verbruggen, H. B. ; Zimmermann, Hans-Jürgen ; Babuska, Robert

Physical Book

£ 116.69

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Tuesday, July 16 and Tuesday, July 23.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.

Synopsis "Fuzzy Algorithms for Control"

Fuzzy Algorithms for Control 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 modeling 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 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.

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