Title :
A neural network architecture, for model reference adaptive control
Author :
Khorasani, K. ; Patel, R.V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
The authors present a neural network architecture For model reference adaptive control of nonlinear dynamical systems. The main feature of the network is its combined supervised and unsupervised learning strategy for controlling unknown dynamical systems
Keywords :
learning systems; model reference adaptive control systems; neural nets; nonlinear control systems; model reference adaptive control; neural network architecture; nonlinear dynamical systems; Adaptive control; Delay systems; Distributed processing; Fault tolerance; Linear systems; Linearity; Neural networks; Nonlinear systems; Parameter estimation; Signal representations;
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
DOI :
10.1109/CDC.1990.203281
