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Optimal control for nonlinear systems by a neural controller of the state feedback type

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2 Author(s)
Shimizu, K. ; Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan ; Ohtani, M.

This paper is concerned with designing a neuro-controller for optimal control of nonlinear systems. The neuro-controller approximates the optimal state feedback control law for the nonlinear systems. The neuro-controller consists of a multilayer neural network and its matrices of connection weights are optimized so that the performance function is minimized. Optimality conditions for the neuro-controller is derived first and then optimal values of the matrices of connection weights are calculated by a steepest descent method with error backpropagation algorithm. Learning of the weights are carried out by off-line scheme

Published in:

Decision and Control, 1996., Proceedings of the 35th IEEE Conference on  (Volume:3 )

Date of Conference:

11-13 Dec 1996

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