Abstract
In this paper we study a control system where the controller is a nonlinear function obtained from a set of fuzzy rules. Having in mind the nonlinearities involved, the main objetive of the methodology presented is to guarantee stability by applying the Conicity Criterion. Furthermore, a method to find the critical fuzzy rules influencing stability is proposed. Thus, these rules are easily identified and modified. Simulation examples confirm the good performance of the method.
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© 1993 Springer Science+Business Media Dordrecht
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Aracil, J., García-Cerezo, A., Barreiro, A., Ollero, A. (1993). Stability Analysis of Fuzzy Control Systems Based on the Conicity Criterion.. In: Lowen, R., Roubens, M. (eds) Fuzzy Logic. Theory and Decision Library, vol 12. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2014-2_45
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DOI: https://doi.org/10.1007/978-94-011-2014-2_45
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-4890-3
Online ISBN: 978-94-011-2014-2
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