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Inverting recurrent neural networks for internal model control of nonlinear systems

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4 Author(s)
Kambhampati, C. ; Dept. of Cybern., Reading Univ., UK ; Craddock, R. ; Tham, M. ; Warwick, K.

In this paper, we show how a set of recently derived theoretical results for recurrent neural networks can be applied to the production of an internal model control system for a nonlinear plant. The results include determination of the relative order of a recurrent neural network and invertibility of such a network. A closed loop controller is produced without the need to retrain the neural network plant model. Stability of the closed-loop controller is also demonstrated

Published in:

American Control Conference, 1998. Proceedings of the 1998  (Volume:2 )

Date of Conference:

21-26 Jun 1998