The control of dynamical systems by neural networksWarwick, 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. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://dx.doi.org/10.1109/IACC.1995.465817 Abstract/SummaryIn 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.
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