Internal model control of nonlinear systems through the inversion of recurrent neural networks

Kambhampati, C., Craddock, R., Tham, M. and Warwick, K. (1998) Internal model control of nonlinear systems through the inversion of recurrent neural networks. In: 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence. IEEE, pp. 1361-1366. doi: 10.1109/IJCNN.1998.685973

Abstract/Summary

Recurrent neural networks can be used for both the identification and control of nonlinear systems. This paper takes a previously derived set of theoretical results about recurrent neural networks and applies them to the task of providing internal model control for a nonlinear plant. Using the theoretical results, we show how an inverse controller can be produced from a neural network model of the plant, without the need to train an additional network to perform the inverse control.

Item Type	Book or Report Section
URI	https://reading-clone.eprints-hosting.org/id/eprint/21630
Item Type	Book or Report Section
Refereed	Yes
Divisions	Science
Uncontrolled Keywords	internal model control, inverse controller, neural network model, nonlinear systems, recurrent neural networks
Publisher	IEEE
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