Neural networks for linear control: an analysisWarwick, K. (1996) Neural networks for linear control: an analysis. Mathematics and Computers in Simulation, 41 (1-2). pp. 29-37. ISSN 0378-4754 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. To link to this item DOI: 10.1016/0378-4754(95)00056-9 Abstract/SummaryThis 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.
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