Abstract
Bridging the gap between fuzzy and conventional control techniques requires a way to relate results from the both disciplines to each other. This can be done by considering fuzzy logic based rules as a way to describe a nonlinear mapping. This point-of-view results in parameter recommendations, insight in fuzzy systems, and more efficient fuzzy controller implementations. Also, the non-fuzzy part of the fuzzy controller is discussed, as well as evaluation of nonlinear controllers in general.
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© 1994 Springer-Verlag Berlin Heidelberg
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Johansson, M. (1994). The Nonlinear Nature of Fuzzy Control. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_43
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DOI: https://doi.org/10.1007/978-3-642-79386-8_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58649-4
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