Artificial Intelligence in Industrial Decision Making, Control and Automation

  • Spyros G. Tzafestas
  • Henk B. Verbruggen

Part of the Microprocessor-Based and Intelligent Systems Engineering book series (ISCA, volume 14)

Table of contents

  1. Front Matter
    Pages i-xxix
  2. General Issues

  3. Intelligent Systems

    1. Front Matter
      Pages 99-99
    2. R. Shoureshi, M. Wheeler, L. Brackney
      Pages 101-126
    3. Toshio Fukuda, Tsuyoshi Ueyama, Kousuke Sekiyama
      Pages 225-246
    4. S. Albayrak, H. Krallmann
      Pages 247-294
  4. Neural Networks in Modelling, Control and Scheduling

    1. Front Matter
      Pages 295-295
    2. A. J. Krijgsman, H. B. Verbruggen, P. M. Bruijn
      Pages 297-325
    3. Spyros G. Tzafestas
      Pages 327-387
    4. L. H. Tsoukalas, A. Ikonomopoulos, R. E. Uhrig
      Pages 405-419
  5. System Diagnostics

    1. Front Matter
      Pages 447-447
    2. H. Verbruggen, S. Tzafestas, E. Zanni
      Pages 449-506
    3. Karl-Eric Årzen, Anders Wallén, Thomas F. Petti
      Pages 507-523
  6. Industrial Robotic, Manufacturing and Organizational Systems

    1. Front Matter
      Pages 535-535
    2. A. Traça De Almeida, Helder Araújo, Jorge Dias, Urbano Nunes
      Pages 537-554
    3. Elpida S. Tzafestas, Spyros G. Tzafestas
      Pages 555-571
    4. A. K. A. Toguyeni, E. Craye, J. C. Gentina
      Pages 631-662
    5. K. S. Hindi, M. G. Singh
      Pages 663-685
    6. Victor J. Terpstra, Henk B. Verbruggen
      Pages 687-722
    7. Antonios Michailidis, Pelagia-Irene Gouma, Roy Rada
      Pages 723-755
  7. Back Matter
    Pages 757-767

About this book


This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.


Fuzzy Simulation artificial intelligence artificial neural network automation autonomous system design intelligence intelligent systems knowledge knowledge representation neural network programming robot robotics

Editors and affiliations

  • Spyros G. Tzafestas
    • 1
  • Henk B. Verbruggen
    • 2
  1. 1.Department of Electrical and Computer EngineeringNational Technical University of AthensAthensGreece
  2. 2.Department of Electrical EngineeringDelft University of TechnologyDelftThe Netherlands

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4134-8
  • Online ISBN 978-94-011-0305-3
  • Series Print ISSN 2213-8986
  • Buy this book on publisher's site