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Numerical stability analysis for fuzzy control

✍ Scribed by Kai Michels; Rudolf Kruse


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
973 KB
Volume
16
Category
Article
ISSN
0888-613X

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✦ Synopsis


An important field of application for fuzzy control is plants of which no parametrical model exists or which include important nonlinear elements. In such systems, it is difficult to describe the behavior of a fuzzy controller by analytical equations. As a result, it is hard to deal with the stability of a closed-loop system containing a fuzzy controller. As a possibility to solve this problem, we introduce a numerical algorithm that does not need analytical descriptions of the plant or of the controller. The algorithm computes the trajectories in a discretized state space to examine stability in the Lyapunov sense.


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