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Neural networks for linear control: an analysis

Warwick, K. (1996) Neural networks for linear control: an analysis. Mathematics and Computers in Simulation, 41 (1-2). pp. 29-37. ISSN 0378-4754

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To link to this article DOI: 10.1016/0378-4754(95)00056-9

Abstract/Summary

This paper considers the use of radial basis function and multi-layer perceptron networks for linear or linearizable, adaptive feedback control schemes in a discrete-time environment. A close look is taken at the model structure selected and the extent of the resulting parameterization. A comparison is made with standard, nonneural network algorithms, e.g. self-tuning control.

Item Type:Article
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:17868
Publisher:Elsevier

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