Abstract
Today, in important fields of application fuzzy and neural network controller are often not used because of the lack of a stability proof for such non-linear control systems. Therefore, we introduce a numerical algorithm which examines the stability of a closed-loop system in the Lyapunov sense without any analytical description of the plant or of the controller. We developed a software tool using this algorithm and we have accumulated many experiences in implementation and application of this method.
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© 1997 Springer-Verlag Berlin Heidelberg
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Simon, A. (1997). Fuzzy and neural network controller — a new tool for stability analysis. In: Reusch, B. (eds) Computational Intelligence Theory and Applications. Fuzzy Days 1997. Lecture Notes in Computer Science, vol 1226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62868-1_135
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DOI: https://doi.org/10.1007/3-540-62868-1_135
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-62868-2
Online ISBN: 978-3-540-69031-3
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