Overview

The field of Intelligent Control has expanded rapidly in recent years with many theoretical and practical results that go beyond those of classical controls. This work presents a collection of contributions that cover a range of topics within the field, including the latest issues of human-machine systems, linguistic communication systems, and automatic verification of intelligent control software. Divided into three parts, the book covers: intelligent control surveys; intelligent control methods; and intelligent control applications. Part one contains four chapters providing general overviews of intelligent control, fuzzy and neural control, and their industrial applications. Part two presents a set of important methods with emphasis on neural, fuzzy and neurofuzzy control concepts and techniques. Finally, part three deals with the application of intelligent control to robotic manipulators, automatic power generation control, manufacturing systems, and welding processes. The book should be of interest to the researcher and practitioner in the field, as well as to teachers and students in related postgraduate programmes.

Full Product Details

Author:   S.G. Tzafestas
Publisher:   Springer
Imprint:   Springer
Edition:   1997 ed.
Volume:   16
Dimensions:   Width: 15.50cm , Height: 3.10cm , Length: 23.50cm
Weight:   2.200kg
ISBN:  

9780792346241

ISBN 10:   0792346246
Pages:   564
Publication Date:   31 August 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Intelligent Control Surveys.- 1 Introduction: Overview of Intelligent Controls.- 2 Fuzzy and Neural Intelligent Control: Basic Principles and Architectures.- 3 Intelligent Control Using Artificial Neural Networks and Fuzzy Logic — Recent Trends and Industrial Applications.- 4 Control of Robotic Manipulators Using Neural Networks — A Survey.- 2 Intelligent Control Methods.- 5 Intelligent Process Control with Supervisory Knowledge-Based Systems.- 6 Fuzzy Model Based Predictive Controller.- 7 Fuzzy Adaptive Control Versus Model-Reference Adaptive Control of Mutable Processes.- 8 Intelligent Control and Supervision Based on Fuzzy Petri Nets.- 9 Off-Line Verification of an Intelligent Control.- 10 Intelligent Neurofuzzy Estimators and Multisensor Data Fusion.- 11 Linguistic Communication Channels.- 3 Intelligent Control Applications.- 12 Intelligent Human-Machine Systems.- 13 Intelligent Control for A Robotic Acrobat.- 14 Adaptive and Learning Control of Robotic Manipulators.- 15 Fuzzy Evolutionary Algorithms and Automatic Robot Trajectory Generation.- 16 Application of Intelligent Control Techniques in Advanced AGC.- 17 Manufacturing Controller Design and Deadlock Avoidance Using A Matrix Model for Discrete Event Systems.- 18 Adaptive, Model-Based Predictive, and Neural Control of The Welding Process.- Biographies of the Contributors.

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