Fuzzy and neural network controller — a new tool for stability analysis
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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