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Methods and Applications of Intelligent Control

  • Book
  • © 1997

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Editors:
  1. Spyros G. Tzafestas

    1. Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xix
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  2. Intelligent Control Surveys

    1. Front Matter

      Pages 1-1
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    2. Introduction: Overview of Intelligent Controls

      • S. G. Tzafestas
      Pages 3-23

    3. Fuzzy and Neural Intelligent Control: Basic Principles and Architectures

      • S. G. Tzafestas, C. S. Tzafestas
      Pages 25-67

    4. Intelligent Control Using Artificial Neural Networks and Fuzzy Logic: Recent Trends and Industrial Applications

      • A. Zilouchian, F. Hamono, T. Jordanides
      Pages 69-102

    5. Control of Robotic Manipulators Using Neural Networks — A Survey

      • P. Gupta, N. K. Sinha
      Pages 103-136

  3. Intelligent Control Methods

    1. Front Matter

      Pages 137-137
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    2. Intelligent Process Control with Supervisory Knowledge-Based Systems

      • S. J. Kendra, M. R. Basila, A. Çinar
      Pages 139-171

    3. Fuzzy Model Based Predictive Controller

      • C. Batur, C.-C. Chan, A. Srinivasan
      Pages 173-196

    4. Fuzzy Adaptive Control Versus Model Reference Adaptive Control of Mutable Processes

      • I. Škrjanc, D. Matko
      Pages 197-216

    5. Intelligent Control and Supervision Based on Fuzzy Petri Nets

      • G. K. H. Pang, R. Tang, S. S. Woo
      Pages 217-243

    6. Off Line Verification of an Intelligent Control

      • V. S. Alagar, K. Periyasamy
      Pages 245-282

    7. Intelligent Neurofuzzy Estimators and Multisensor Data Fusion

      • C. J. Harris, Z. Q. Wu, K. Bossley, M. Brown
      Pages 283-303

    8. Linguistic Communication Channels

      • W. Pedrycz
      Pages 305-326

  4. Intelligent Control Applications

    1. Front Matter

      Pages 327-327
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    2. Intelligent Human — Machine Systems

      • G. Johannsen, S. Ali, R. Van Paassen
      Pages 329-356

    3. Intelligent Control for a Robotic Acrobat

      • S. C. Brown, K. M. Passino
      Pages 357-399

    4. Adaptive and Learning Control of Robotic Manipulators

      • Z. Ahmad, A. Guez
      Pages 401-422

    5. Fuzzy Evolutionary Algorithms and Automatic Robot Trajectory Generation

      • B. H. Xu, R. C. Baird, G. Vukovich
      Pages 423-449

    6. Application of Intelligent Control Techniques in Advanced AGC

      • K. Liu, F. L. Lewis, R. R. Shoults
      Pages 451-484
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Keywords

About this book

This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece

    Spyros G. Tzafestas

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