Tuning fuzzy control rules by the α cons
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Tetsuyuki Takahama; Setsuko Sakai
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Article
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2000
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John Wiley and Sons
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English
⚖ 372 KB
Learning of fuzzy control rules can be considered as solving a constrained nonlinear optimization problem, in which the objective function is not differentiable. In this case, usually the problem is solved by the combination of a direct search method and penalty method. However, it is difficult to k