Abstract
One argument that is frequently used in favor of fuzzy controllers is that they can be constructed easily and fast. However, this is true only for relatively simple plants. With increasing complexity, the effort to develop a fuzzy controller for any system grows dramatically. In such cases, the heuristic approach to determine the membership functions and rules—which is an advantage for simple plants—turns into a time-consuming disadvantage. For this reason, several attempts emerged from the end of the 80s on in order to systematize the design and adaptation process of a fuzzy controller. We discuss the most important approaches in this chapter.
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© 2006 Springer
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Michels, K., Klawonn, F., Kruse, R., Nürnberger, A. (2006). Parametrization and Optimization of Fuzzy Controllers. In: Fuzzy Control. Studies in Fuzziness and Soft Computing, vol 200. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31766-X_5
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DOI: https://doi.org/10.1007/3-540-31766-X_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31765-4
Online ISBN: 978-3-540-31766-1
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