Series parallel approach to identification of dynamic systems

Details Series parallel approach to identification of dynamic systems Series parallel approach to identification of dynamic systems

1994-08-19

1997-10-21

Hafiz, Tariq R.

395 23, 395 24, G06E 100, G06E 300, G06F 1518

Patent

active

056805136

ABSTRACT:
A system and method for identifying and controlling an unknown dynamic system in which the system is identified, at least in part from test data, and a control scheme may be adapted on-line. In addition, the system may be used to develop an off-line solution to complex problems related to both dynamic and static systems. The system may use a multiprocessor architecture which may have a variety of configurations but is particularly suited for a neural network. The neural network may be built up of neurons that are either purely one way (forward signal path) or two way. Each neuron may be provided with its own synaptic weight, adjusted using only the local and backward signals.

REFERENCES:
Hyland, "Neural Network architectures for on-line system identification and adaptively optimized control"; Proceedings of the 30th IEEE Conference on Decision and Control, pp. 2552-2557 vo. 3, 11-13 Dec. 1991.
Kraft et al, "Comparison of CMAC Architectures for neural network based control"; Proceedings of the 29th IEEE Conference on decision and control, pp. 3267-3269 vol. 6, 5-7 Dec. 1990.
Narendra et al, "Adaptive identification and control of dynamical systems using neural networks"; Proceedings of the 28th IEEE Conference on Decision and Control, pp. 1737-1738 vol. 2, 13-15 Dec. 1989.
Narendra et al, "Identification and control of dynamical systems using neural networks"; IEEE Transctions on neural networks, pp. 4-27, vol. 1, Mar. 1990.

Affiliated with

Also associated with

Rating

Series parallel approach to identification of dynamic systems does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Series parallel approach to identification of dynamic systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Series parallel approach to identification of dynamic systems will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-1013682