Fuzzy system identification using an ada
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Chuan-Kai Lin; Sheng-De Wang
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Article
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1999
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Elsevier Science
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English
⚖ 573 KB
A fuzzy model with an adaptive learning rule is proposed to approximate a class of nonlinear systems. The proposed adaptive learning rule uses the concept of terminal attractors and guarantees that the identification is stable and fast convergence in finite time. Another subject of this paper is to