Neural network/expert system process control system and method

Details Neural network/expert system process control system and method Neural network/expert system process control system and method

1990-08-03

1992-06-09

MacDonald, Allen R.

395 22, 395 23, 395 68, 395906, G06F 1518

Patent

active

051214679

ABSTRACT:
A neural network/expert system process control system and method combines the decision-making capabilities of expert systems with the predictive capabilities of neural networks for improved process control. Neural networks provide predictions of measurements which are difficult to make, or supervisory or regulatory control changes which are difficult to implement using classical control techniques. Expert systems make decisions automatically based on knowledge which is well-known and can be expressed in rules or other knowledge representation forms. Sensor and laboratory data is effictively used. In one approach, the output data from the neural network can be used by the controller in controlling the process, and the expert system can make a decision using sensor or lab data to control the controller(s). In another approach, the output data of the neural network can be used by the expert system in making its decision, and control of the process carried out using lab or sensor data. In another approach, the output data can be used both to control the process and to make decisions.

REFERENCES:
Bhat et al., "The Use of Neural Networks for Dynamic Modeling and Control of Chemical Process Systems", 1989 American Control Conf., pp. 342-347.
Tacker et al., "A Fuzzy Logic Neural System Approach to Signal Processing in Large Scale Decision System", 1989 IEEE Conf. on Sys. Man. & Cybernetics, pp. 1094-1097.
Hiramatsu, "Aim Communications Network Control by Neural Networks", IEEE Trans. on Neural Networks, vol. 1, No. 1, Mar. 1990, pp. 122-130.
Hillman, "Integrating Neural Necs and Expert Systems", Al Exper., Jun. 1990, pp. 54-59.
Bavarian, "Introduction to Neural Networks for Intelligent Control", IEEE Control Systems Magazine, Apr. 1988, pp. 3-7.
Narendra et al., "Identification and Control of Dynamical Systems Using Neural Networks", IEEE Trans. on Neural Networks, vol. 1, No. 1, Mar. 1990, p. 427.
Guez et al., "Neural Network Archtecture for Control", IEEE Control Sys. Magazine, Apr. 1988, p. 22-25.
Chen, "Back-Propagation Neural Networks for Nonlinear Self-Tuning Adaptive Control", IEEE Control Sys, Magazine, Apr. 1990, pp. 44-48.
Elsley, "A Learning Architecture for Control Based on Back-Propagation Neural Networks", Proc. IEEE Int'l Conf. on Neural Networks, pp. 587-594.
Psaltis et al., "A Multilayered Neural Network Controller", IEEE Control Systems Magazine, Apr. 1988, pp. 17-21.
Kraft et al., "A Comparison Between Canal Neural Network Control and two Traditional Adaptive Control Systems", IEEE Control Sys. Mag., Ap, 1990, pp. 36-43.
Sanner et al., "Neuromorphic Proc. & Attitude Regulation of an Underwater Telerobot", IEEE Control System Magazine, Apr. 1990, pp. 62-67.
Guez et al., "Neuromorphic Controller with a Human Teacher", IEEE Internat. Conf. on Neural Networks, 1988, pp.II-595-602.
Liu, "Building-A Generic Architecture for Robot Hand Control"; IEEE Internat. Conf. on Neural Networks, 1988, vol. II, pp. 567-574.
Koperstein et al., "Implementation of an Adaptive Neural Controller for Sensory-Motor Coordination", IEEE Control Sys., Apr. 1989, pp. 25-30.
Josin et al., "Robot Control Using Neural Networks", IEEE Internat. Conf. on Neural Networks, 1988, pp. II-625-631.
Liu et al., "Neural Network Architecture for Robot Hand Control", IEEE Control Systems Magazine, Apr. 1989, pp. 38-43.
Kuperstein et al., "Neural Controller for Adaptive Movements with Unforeseen Payloads", IEEE Trans. on Neural Networks, vol. 1 No. 1, Mar. 1990, pp. 137-142.
Kung et al., "Neural Network Architectures for Robotic Applications", IEEE Trans. on Robotics and Automation, vol. 5, No. 5, Oct. 1989, pp. 641-657.
Nocera et al., "Rule-Driven Neural Networks for Speech Recognition", INNC 90 Paris International Neural Network Conference, pp. 191-194.
Gallant, "Connectionist Expert Systems", Comm. of the ACM, Feb. 1988, vol. 31, No. 2, pp. 152-169.
Hoskins et al., "Fact Diagnosis on Chemical Plants Using artificial Neural Networks", Aiche Journal, Jan. 1991, vol. 37, No. 1, pp. 137-141.
Astrom, "Toward Intelligent Control", IEEE Control Systems Magazine, Apr. 1988, pp. 60-64.
Handelman et al., "Integrating Neural Networks and Knowledge-Based Systems for Intelligent Robotic Control", IEEE Control Sys. Mag., Apr. 1990, pp. 77-82.
McClelland, Explorations in Parallel Distributed Processing, MIT Press, 1988, pp. 11-48, 263-282.
Norton et al., The New Peter Norton Programmer's Guide to the IBM PC and PS/Z, Microsoft Press, 1985, pp. 99-124.
Lippmann, "An Introduction to Computing with Neural Nets", IEEE ASSP Magazine, Apr. 1987, pp. 4-21.
Bhat et al., Use of Neural Nets for Dynamic Modeling and Control of Chemical Process Systems, 1989 American Control Conference, Pittsburgh (Jun. 21-23, 1989).
Sobajic et al., Intelligent Control of the Intelledex 605T Robot Manipulator, pp. 633-640, IEEE International Conference, San Diego (Jul. 24-27, 1988).
Guez et al., Neuromorphic Controller with a Human Teacher, pp. 595-602, IEEE International Conference San Diego (Jul. 24-27, 1988).
Guez et al., Neuromorphic Architectures for Fast Adaptive Robot Control pp. 145-149, 1988 IEEE Int'l Conference (Apr. 24-29, 1988).
Shepanski et al., Teaching Artificial Neural Systems to Drive: Manual Training Techniques, pp. 231-238 Annual Workshop of SOA and Robotics (Aug. 5-7, 1987).
Rumelhart et al., Parallel Distributed Processing, Explorations in the Microstructure of Cognition, 1986.
McClelland et al., Explorations in Parallel Distributed Processing, A Handbook of Models, Programs, and Exercises, 1988.
Bhaget, A Introduction to Neural Nets, Aug., 1990.
Ballou, Technological Mix to Fuel Neural Network Growth, Aug. 13, 1990.
Samdani, Neural Nets They Learn from Examples, Aug., 1990.
Venkatasubramanian et al., Process Fault Detection and Diagnosis Using Neural Networks--I. Steady-State Processes, Feb. 15, 1990.
Ungar et al., Adaptive Networks for Fault Diagnois and Process Control, Jan. 15, 1990.
Bhat et al., Use of Neural Nets for Dynamic Modeling and Control of Chemical Process Systems, Nov. 29, 1989.
Yostie, Forecasting and Control Using Adaptive Connectionist Networks, 1990.
Venkatasubramanian et al., A Neural Network Methodology for Process Fault Diagnosis, Dec., 1989.
Watanabe et al., Incipient Fault Diagnosis of Chemical Processes via Artificial Neural Networks, 1989.
Hoskins et al., Artificial Neural Network Models of Knowledge Representation in Chemical Engineering, 1988.
Graf et al., A Neural Controller for Collision-Free Movement of General Robot Manipulations, Apr., 1988.

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