Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72759
Title: MRAC of nonlinear systems using neural networks with recursive least squares adaptation
Authors: Fong, K.F. 
Loh, A.P. 
Issue Date: 1993
Source: Fong, K.F.,Loh, A.P. (1993). MRAC of nonlinear systems using neural networks with recursive least squares adaptation. 1993 IEEE International Conference on Neural Networks : 529-533. ScholarBank@NUS Repository.
Abstract: We present a new model reference adaptive control of nonlinear systems using neural networks. In this scheme, adaptive control is viewed as an identification process, in which the parameters to be identified are that of the controller and the plant model. The neural net controller is adapted using a variant of recursive least squares estimation which can be considered a generalization of back-propagation. Simulations show that for a simple plant, the adaptive control is stable.
Source Title: 1993 IEEE International Conference on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/72759
ISBN: 0780312007
Appears in Collections:Staff Publications

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