Artificial Intelligence in Real-Time Control

Artificial Intelligence in Real-Time Control

Proceedings of the IFAC Workshop, Clyne Castle, Swansea, UK, 21–23 September 1988

1st Edition - January 1, 1989

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  • Editors: M. G. Rodd, G. J. Suski
  • eBook ISBN: 9781483146898

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Artificial Intelligence in Real-Time Control documents the proceedings of the IFAC Workshop held in Clyne Castle, Swansea, UK, 21-23 September 1988. It includes two keynote addresses that discussed architectural issues for expert systems in real-time control; the problem of representing knowledge and reasoning; and the problems encountered in obtaining such information. Other papers contained in these proceedings are representative of the major research bodies active throughout the world in the application of AI techniques in real-time control, although it was inevitable that a Europe-based conference would highlight the work of the European groups. While AI is clearly still in the process of establishing itself, it is undoubtedly a major new area of engineering endeavor. Practical experience is still relatively limited, and many of the results discussed at this event were obtained through simulation or, in a few cases, from reduced practical experience. The importance, though, lies in the fact that many countries are pouring extensive resources into the attempt to control difficult processes by using AI techniques. The wide cross section of interest was demonstrated by the fact that many diverse industries were represented at the workshop—ranging from power-systems control to telecommunications, and into the steel industry.

Table of Contents

  • Keynote Addresses

    Architectural Issues for Expert Systems in Real-time Control

    Representation of Real Knowledge for Real-time Use

    Architecture Of Expert Systems For Real-Time Control

    Knowledge-Based Real-Time Control

    An Architecture for Expert System-based Feedback Control

    Perspectives on the Use of Rule-based Control

    Intelligent Alarm Handling

    Knowledge Acquisition And Learning

    Representation of Inexact Engineering Knowledge about Real-Time Systems

    A Method of Automating the Knowledge Acquisition Task for Process Plant Expert Systems

    The Knowledge-based Optimizing of Electronic Controllers

    Expert Systems for Process Control Using Automatic Knowledge Acquisition

    Process Control

    An Expert System Shell Embedded in the Control System

    Real-time Artificial Intelligence for Process Monitoring and Control

    Blast Furnace Control by Artificial Intelligence

    Adapting to Noise


    An Expert System for Industrial Process Identification

    An Expert System for System Identification

    Knowledge Bases

    The Knowledge Database Used in an Expert System Interface for Idpac

    Knowledge-based Constraint Specification in the Development of Process Automation Systems

    The "Descriptive Search" to Realize a Knowledge-based Retrieval of Reusable Project Results

    Man Machine Interfaces

    Design Issues and Knowledge Representations for Modern Control Room Interfaces

    Knowledge-supported Generation of Control Room Pictures

    Towards An "Intelligent" Editor of Industrial Control Views, Using Rules for Ergonomic Design

    Robotic Control

    A Knowledge-based Control Structure for Robotic Manipulators

    Knowledge Based Fuzzy Motion Control of Autonomous Vehicles

    Author Index

Product details

  • No. of pages: 158
  • Language: English
  • Copyright: © Pergamon 1989
  • Published: January 1, 1989
  • Imprint: Pergamon
  • eBook ISBN: 9781483146898

About the Editors

M. G. Rodd

G. J. Suski

Affiliations and Expertise

Lawrence Livermore National Laboratory, California, USA

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