Artificial Intelligence in Real-Time Control 1992: Selected Papers from the Ifac/Ifip/Imacs Symposium, Delft, the Netherlands, 16-18 June 1992

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  • Format: Hardcover
  • Copyright: 1993-10-01
  • Publisher: Elsevier Science Ltd

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The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were: the methodology of artificial intelligence techniques in control engineering; the application of artificial intelligence techniques in different areas of control; and hardware and software requirements. This symposium showed that there exist alternative possibilities for control based on artificial intelligence techniques.

Table of Contents

Knowledge Based Control: Selecting the Right Tool for the Jobp. 1
The Functional Link Net Approach to the Learning of Real-time Optimal Controlp. 11
Neural Networks Applied to Optimal Flight Controlp. 19
Adaptive Neural Network Control of FES-induced Cyclical Lower Leg Movementsp. 25
Regularization as a Substitute for Pre-processing of Data in Neural Network Trainingp. 31
Neural Network Modelling and Control of a Plant Exhibiting the Jump Phenomenap. 37
Neural Networks (Methodologies for Process Modelling and Control)p. 43
Parallel Nonlinear Decoupling for Process Control - A NARMAX Approachp. 49
The Influence of Training Data Selection on Performance of Neural Networks for Control of Non-linear Systemsp. 55
Properties of the Neural Network Internal Model Controllerp. 61
A Target-directed Neurally Controlled Vehiclep. 67
EMG Pattern Recognition by Neural Networks for Prosthetic Fingers Controlp. 73
Monitoring and Control of Power System Voltage Stability using an Artificial Neural Networkp. 81
Multi-dimensional Locally Generalizing Neural Networks for Real Time Controlp. 87
Induction of Control Rules from Human Skillp. 97
A Knowledge Acquisition and Processing Strategy based on Formal Concept Analysisp. 103
Implementation of a Human-friendly Systems Methodology for Intelligent Control System Modelling and Simulationp. 109
Machine Learning using Version Spaces for a Power Distribution Network Fault Diagnosticianp. 115
Stability of Fuzzy Control Systems by using Nonlinear System Theoryp. 121
Stability of Feedback Systems with Uncertain Dynamicsp. 127
A Computational Causal Model for Process Supervisionp. 133
Design of an Intelligent Supervisor of a Ship Engine Roomp. 141
Qualitative Modelling and Simulation by Piecewise Linear Analysisp. 147
Implementation of a Knowledge-based PID Auto-tunerp. 153
Dimensions of Learning in a Real-time Knowledge-based Control Systemp. 159
Educational Aspect of Expert Control of Technological Processesp. 165
A Predictable Real-time Expert System for Multi-sensor Fusionp. 171
Adaptive and Supplementary Intelligent Control of Power System Stabilizersp. 177
Fuzzy Inference in Rule-based Real-time Controlp. 183
Laboratory Evaluation of Fuzzy Controllersp. 189
Supervisory Control of Mode-switch Processes: Application to a Flexible Beamp. 195
Knowledge Specification and Representation for an "Intelligent" Interface Devoted to Process Monitoring and Supervisionp. 201
Integration of Control and Error Management for a Flexible Assembly Cell, using a Cost Functionp. 207
Principles of Model-based Fault Detectionp. 213
On-line Residual Compensation in Robust Fault Diagnosis of Dynamic Systemsp. 221
Geometric Tools for an Observer-based Approach to Residual Generationp. 229
Examples for Fault Detection in Closed Loopsp. 235
A Method for Fault Detection using Parameter and State Estimationp. 241
Supervision and Control of an Exothermic Batch Processp. 247
Markovian Reliability Analysis of State-estimator-based Instrument Fault Detection Schemesp. 253
Neural Network Models and Statistical Tests as Flexible Base for Intelligent Fault Diagnosisp. 259
Multivalued Logic Voting Scheme for Residual Evaluation in Failure Detection and Isolation Systemsp. 267
Knowledge-based Diagnosis in Information Poor Plants: A Materials Accountancy Applicationp. 273
Logic-based Process Diagnosis Utilising the Causal Structure of Dynamical Systemsp. 279
Knowledge Based Sensor Fault Detection for Gas Turbines under Consideration of Model Based Methodsp. 287
Towards a General Multi-model-based Methodology for Diagnosis Systemsp. 293
An Adaptive Decision System using Pattern Recognitionp. 299
Intelligent Real-time Control of a Multifingered Robot Gripper by Learning Incremental Actionsp. 303
Synthesis of Optimal Control using Neural Network with Mixed Structurep. 311
Learning to Avoid Collisions: A Reinforcement Learning Paradigm for Mobile Robot Navigationp. 317
Genetic Algorithms for Process Control: A Surveyp. 323
An Adaptive System for Process Control using Genetic Algorithmsp. 329
Real-time Acquisition of Fuzzy Rules using Genetic Algorithmsp. 335
Automated Synthesis of Control for Nonlinear Dynamic Systemsp. 341
On Representations for Continuous Dynamic Systemsp. 347
Process Knowledge Acquisition and Control by Quantitative and Qualitative Complementarityp. 353
Model-based Diagnosis - State Transition Events and Constraint Equationsp. 359
Multiple Models Based on Fuzzy Qualitative Modellingp. 365
Architectures and Techniques of Artificial Intelligence in Process Controlp. 371
Real-time Supervisory Control for Industrial Processesp. 377
The Development of an Intelligent Monitoring and Control System for a Solvent Extraction Processp. 383
Knowledge-based Systems for Real-time Process Control: The MIP Projectp. 391
Using GRATE to Build Cooperating Agents for Industrial Controlp. 397
Intelligent Tuning of P+I Controllers for Bioprocess Applicationp. 403
Fault Detection and Emergency Control in Power Systemsp. 409
Model-based Diagnosis for Continuous Process Supervision: The ALEXIP Experiencep. 415
Reactive Process Control using a Blackboard Architecturep. 423
Pattern Recognition for Bioprocess Controlp. 431
Enhancing Fermentation Development Procedures via Artificial Neural Networksp. 435
Artificial Intelligence in the Control of a Class of Fermentation Processesp. 441
A Task Decomposition Approach to using Neural Networks for the Interpretation of Bioprocess Datap. 447
Top-down Design of Embedded Real-time AI Systemsp. 453
A Temporal Blackboard Structure for Process Controlp. 459
Reinforcement Learning and Recruitment Mechanism for Adaptive Distributed Controlp. 467
Using Neural-net Computing to Formulate Real-time Control Strategiesp. 475
A Survey of Commercial Real-time Expert System Environmentsp. 483
Designing Real-time Knowledge Based Systems with PERFECTp. 491
RIGAS: An Expert Server Task in Real-time Environmentsp. 497
DICE: A Real-time Toolboxp. 503
Low-Cost Environment for Analysis and Design of Knowledge-based Control Algorithmsp. 509
Predicting and Improving Response-times of Perfect-modelsp. 515
An Execution Environment for Real-time Model-based Supervisory Control and Diagnostic Systemsp. 521
Author Indexp. 527
Keyword Indexp. 529
Table of Contents provided by Blackwell. All Rights Reserved.

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