Advanced Computing Concepts and Techniques in Control Engineering

1. Front Matter

   Pages I-XI

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2. Artifical Intelligence and Expert Systems

   1. Front Matter

      Pages 1-1

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   2. Aspects of Expert Systems

      • J. Robin B. Cockett

      Pages 3-30

   3. Qualitative Modelling of Physical Systems for Knowledge Based Control

      • Roy Leitch

      Pages 31-51

   4. Computer Algebra Algorithms for Nonlinear Control

      • O. Akhrif, G. L. Blankenship

      Pages 53-80

   5. Pandore

      • J. P. Chancelier, C. Gomez, J. P. Quadrat, A. Sulem

      Pages 81-125

3. Discrete-Event and Distributed Systems

   1. Front Matter

      Pages 127-127

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   2. A Control Theory for Discrete-Event Systems

      • W. M. Wonham

      Pages 129-169

   3. The Complexity of Some Basic Control Problems for Discrete Event Systems

      • Peter J. Ramadge

      Pages 171-190

   4. A Petri-net Approach to the Control of Discrete-event Systems

      • M. J. Denham

      Pages 191-214

   5. Temporal logic and extended state machines in discrete-event control

      • J. S. Ostroff

      Pages 215-236

   6. An Overview of Distributed System Construction Using Conic

      • Jeff Kramer, Jeff Magee, Morris Sloman

      Pages 237-255

   7. Structural Design of Decentralized Control Systems

      • P. Martin Larsen, F. J. Evans

      Pages 257-286

4. Algorithms for Advanced Architectures

   1. Front Matter

      Pages 287-287

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   2. Matrix Computations on Shared-Memory Multiprocessors

      • K. A. Gallivan, A. H. Sameh

      Pages 289-359

   3. Hypercube Implementation of Some Parallel Algorithms in Control

      • Alan J. Laub, Judith D. Gardiner

      Pages 361-390

   4. Load Balancing and Partitioning for Parallel Signal Processing and Control Algorithms

      • George Cybenko

      Pages 391-408

   5. Systolic algorithms for digital signal processing and control

      • J.-P. Charlier, M. Vanbegin, P. Van Dooren

      Pages 409-433

5. Contributed Papers

   1. Front Matter

      Pages 435-435

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   2. Microcomputer Based Expert Control and Adaptive PID Control

      • Lawrence G. Lebow

      Pages 437-458

Computational concepts and techniques have always played a major role in control engineering since the first computer-based control systems were put into operation over twenty years ago. This role has in fact been accelerating over the intervening years as the sophistication of the computing methods and tools available, as well as the complexity of the control problems they have been used to solve, have also increased. In particular, the introduction of the microprocessor and its use as a low-cost computing element in a distributed computer control system has had a profound effect on the way in which the design and implementation of a control system is carried out and, to some extent, on the theory which underlies the basic design strategies. The development of interactive computing has encouraged a substantial growth in the use of computer­ aided design methods and robust and efficient numerical algorithms have been produced to support these methods. Major advances have also taken place in the languages used for control system implementation, notably the recent introduction of Ada'", a language whose design is based on some very fundamental computer science concepts derived and developed over the past decade. With the extremely high rate of change in the field of computer science, the more recent developments have outpaced their incorporation into new control system design and implementation techniques.

• algorithms
• artificial intelligence
• computer architecture
• control
• expert system
• intelligence
• knowledge base
• memory
• modeling
• optimization
• processor

• Department of Computing, Plymouth Polytechnic, Plymouth, Devon, UK

  Michael J. Denham

• Department of Electrical and Computer Engineering, University of California, Santa Barbara, USA

  Alan J. Laub

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