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Neural networks for linear control: An analysis

โœ Scribed by Kevin Warwick


Book ID
103897774
Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
460 KB
Volume
41
Category
Article
ISSN
0378-4754

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โœฆ Synopsis


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.


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