Accessibility navigation


The control of dynamical systems by neural networks

Warwick, K. (1995) The control of dynamical systems by neural networks. In: IEEE/IAS International Conference on Industrial Automation and Control, 5-7 January 1995, Hyderabad, India, pp. 341-346.

Full text not archived in this repository.

Official URL: http://dx.doi.org/10.1109/IACC.1995.465817

Abstract/Summary

In this paper the use of neural networks for the control of dynamical systems is considered. Both identification and feedback control aspects are discussed as well as the types of system for which neural networks can provide a useful technique. Multi-layer Perceptron and Radial Basis function neural network types are looked at, with an emphasis on the latter. It is shown how basis function centre selection is a critical part of the implementation process and that multivariate clustering algorithms can be an extremely useful tool for finding centres.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Systems Engineering
ID Code:21674

Centaur Editors: Update this record

Page navigation