Identification of Takagi-Sugeno Fuzzy-Model-Based Dynamic Systems using Orthogonal-Functions Approach and Genetic Algorithm
碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 98 === The main purpose of this thesis is to propose an integrative method which integrates the orthogonal-function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) for solving the identification problem of Takagi-Sugeno (TS) fuzzy-model-based dynam...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/06952676798379931982 |
| Summary: | 碩士 === 國立高雄第一科技大學 === 系統資訊與控制研究所 === 98 === The main purpose of this thesis is to propose an integrative method which integrates the orthogonal-function approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA) for solving the identification problem of Takagi-Sugeno (TS) fuzzy-model-based dynamic system. First, the OFA can solve the solution for the TS fuzzy-model-based dynamic equation. Then, the HTGA can search the optimal antecedent and consequent solutions simultaneously for the identification problem of TS fuzzy-model-based dynamic system. Finally, the proposed approach is effectively applied to solve the identification problems of the chaotic systems and the human immunodeficiency virus (HIV) model.
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