Skip to main content
SpringerLink
Log in

Artificial Intelligence in Industrial Decision Making, Control and Automation

  • Book
  • © 1995

Overview

Editors:
  1. Spyros G. Tzafestas

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

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Henk B. Verbruggen

    1. Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (24 chapters)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  3. Intelligent Systems

    1. Front Matter

      Pages 99-99
      Download chapter PDF

    2. Applied Intelligent Control Systems

      • R. Shoureshi, M. Wheeler, L. Brackney
      Pages 101-126

    3. Intelligent Simulation in Designing Complex Dynamic Control Systems

      • Feng Zhao
      Pages 127-158

    4. Multiresolutional Architectures for Autonomous Systems with Incomplete and Inadequate Knowledge Representation

      • A. Meystel
      Pages 159-223

    5. Distributed Intelligent Systems in Cellular Robotics

      • Toshio Fukuda, Tsuyoshi Ueyama, Kousuke Sekiyama
      Pages 225-246

    6. Distributed Artificial Intelligence in Manufacturing Control

      • S. Albayrak, H. Krallmann
      Pages 247-294

  4. Neural Networks in Modelling, Control and Scheduling

    1. Front Matter

      Pages 295-295
      Download chapter PDF

    2. Artificial Neural Networks for Modelling

      • A. J. Krijgsman, H. B. Verbruggen, P. M. Bruijn
      Pages 297-325

    3. Neural Networks in Robot Control

      • Spyros G. Tzafestas
      Pages 327-387

    4. Control Strategy of Robotic Manipulator Based on Flexible Neural Network Structure

      • Mohammad Teshnehlab, Keigo Watanabe
      Pages 389-403

    5. Neuro-Fuzzy Approaches to Anticipatory Control

      • L. H. Tsoukalas, A. Ikonomopoulos, R. E. Uhrig
      Pages 405-419

    6. New Approaches to Large-Scale Scheduling Problems: Constraint Directed Programming and Neural Networks

      • Yasuhiro Kobayashi, Hisanori Nonaka
      Pages 421-445

  5. System Diagnostics

    1. Front Matter

      Pages 447-447
      Download chapter PDF

    2. Knowledge-Based Fault Diagnosis of Technological Systems

      • H. Verbruggen, S. Tzafestas, E. Zanni
      Pages 449-506
Back to top

Keywords

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.

Editors and Affiliations

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

    Spyros G. Tzafestas

  • Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands

    Henk B. Verbruggen

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation