Multiprocessor system and method for identification and adaptive

Details Multiprocessor system and method for identification and adaptive Multiprocessor system and method for identification and adaptive

1994-08-19

1998-08-18

Hafiz, Tariq R.

395 21, 395 24, G06E 1100, G06F 1518

Patent

active

057969205

ABSTRACT:
A system and method for identifying and adapting a control system for a dynamic system includes in one embodiment massively parallel, decentralized signal processing equipment which can (1) identify a dynamic system; (2) adapt an on-line control system for the dynamic system; and/or, (3) solve off-line complex, nonlinear problems related to either static or dynamic systems. The disclosed system may include a neural network in which the neurons are two-way devices (forward and backward signal paths), each of which has a synaptic weight which is independently adjusted using only the forward and backward signals.

REFERENCES:
Hyland, David C., Neural Network Architecture for On-Line System Identification and Adaptively Optimized Control, Proceedings of the 30Th Conference on Decision and Control, Brighton, England, Dec. 1991, pp.2552-7.
Hyland, David C., and King, James A., Neural Network Architectures for Stable Adaptive Control, Rapid Fault Detection and Control System Recovery, Proceedings of the Annual Rocky Mountain Guidance and Control Conference, pp.407-424, 1992.
Phan, Minh, Juang, Jer-nan, and Hylan, David C., On Neural Networks in Identification and Control of Dynamic Systems, NASA Technical Memorandum 107702, 1993.
Hert, John, Krogh, Anders, and Palmer, Richard G., Introduction to the Theory of Neural Computation, Addison-Wesley, pp. 115-130, 1991.

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