Stable adaptive neural network controller

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364148, 395 22, G05B 1302

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052688348

ABSTRACT:
An adaptive control system uses a neural network to provide adaptive control when the plant is operating within a normal operating range, but shifts to other types of control as the plant operating conditions move outside of the normal operating range. The controller uses a structure which allows the neural network parameters to be determined from minimal information about plant structure and the neural network is trained on-line during normal plant operation. The resulting system can be proven to be stable over all possible conditions. Further, with the inventive techniques, the tracking accuracy can be controlled by appropriate network design.

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ICON '89 Proceedings, Apr. 1989, Jerusalem pp. 1-5.
Proceedings of the 25th IEEE Conference on Decision & Control, Dec. 1986, Athens, Greece, pp. 409-414.
Proceedings of the 29th IEEE Conference on Decision & Control, Dec. 1990, Honolulu, Hi., vol. 3, pp. 1757-1762.
IEEE Control System Magazine "Integrating Neural Networks and Knowledge-Based Systems for Intelligent Robotic Control" Handelman et al., Apr. 1990, pp. 77-87.

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