Fuzzy Algorithms for Control

Fuzzy Algorithms for Control
Author :
Publisher : Springer Science & Business Media
Total Pages : 353
Release :
ISBN-10 : 9789401144056
ISBN-13 : 9401144052
Rating : 4/5 (052 Downloads)

Book Synopsis Fuzzy Algorithms for Control by : H. B. Verbruggen

Download or read book Fuzzy Algorithms for Control written by H. B. Verbruggen and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Fuzzy Algorithms for Control Related Books

Fuzzy Algorithms for Control
Language: en
Pages: 353
Authors: H. B. Verbruggen
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

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 fi
Intelligent Control
Language: en
Pages: 292
Authors: Nazmul Siddique
Categories: Technology & Engineering
Type: BOOK - Published: 2013-11-29 - Publisher: Springer

DOWNLOAD EBOOK

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing tec
Fuzzy Neural Networks for Real Time Control Applications
Language: en
Pages: 266
Authors: Erdal Kayacan
Categories: Mathematics
Type: BOOK - Published: 2015-10-07 - Publisher: Butterworth-Heinemann

DOWNLOAD EBOOK

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic
Fuzzy Control Systems
Language: en
Pages: 664
Authors: Abraham Kandel
Categories: Computers
Type: BOOK - Published: 1993-09-27 - Publisher: CRC Press

DOWNLOAD EBOOK

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysi
Fuzzy-neural Control
Language: en
Pages: 262
Authors: Junhong Nie
Categories: Computers
Type: BOOK - Published: 1995 - Publisher: Prentice Hall PTR

DOWNLOAD EBOOK

Illustrating how fuzzy logic and neural networks can be integrated into a model reference control context for real-time control of multivariable systems, this b