Abstract
Considering nonlinear control, identification of nonlinearities has become essential. Thus, a universal function approximator has to be found which is able to approximate an unknown static1 nonlinear function. For this objective, various neural network and also fuzzy approaches are offered.
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Beuschel, M. (2000). Neural Networks and Fuzzy Controllers as Nonlinear Function Approximators. In: Schröder, D. (eds) Intelligent Observer and Control Design for Nonlinear Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-04117-8_4
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DOI: https://doi.org/10.1007/978-3-662-04117-8_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-08346-4
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