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Fuzzy Modeling with Adaptive Simulated Annealing

Hime Aguiar e Oliveira Jr. (hime***at***engineer.com)

Abstract: A new method for data-based fuzzy system modeling is presented. The approach uses Takagi-Sugeno models and Adaptive Simulated Annealing (ASA) to achieve its goal . The problem to solve is well defined - given a training set containing a finite number of input-output pairs, construct a fuzzy system that approximates the behavior of the real system that originated that set , within a pre-established precision .

Keywords: Fuzzy modeling ; Global optimization ; Fuzzy Logic ; ASA ; Simulated Annealing ; Stochastic Optimization

Category 1: Applications -- Science and Engineering (Control Applications )

Category 2: Global Optimization (Applications )

Citation:

Download: [PDF]

Entry Submitted: 07/05/2004
Entry Accepted: 07/05/2004
Entry Last Modified: 12/13/2004

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