An algorithm of parameter optimization for generalized T-S model based on genetic algorithm

An algorithm of parameter optimization for generalized T-S model based on genetic algorithm

In this paper, an algorithm of parameter optimization for generalized Takagi-Sugeno (T-S) model is proposed. The structure of generalized T-S model which is of lower complexity of model and higher precision, is obtained by using genetic algorithm (GA). For searching the optimal parameters of general...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Li He-Sheng, Mao Jian-Qin, Dai Ji-Yang
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Electronic mail
Fuzzy control
Fuzzy logic
Fuzzy sets
Fuzzy systems
Gaussian processes
Genetic algorithms
Parameter estimation
Shape
Takagi-Sugeno model
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Beschreibung
Zusammenfassung:In this paper, an algorithm of parameter optimization for generalized Takagi-Sugeno (T-S) model is proposed. The structure of generalized T-S model which is of lower complexity of model and higher precision, is obtained by using genetic algorithm (GA). For searching the optimal parameters of generalized T-S model, the matrix coding is adopted. The solution of numerical simulation shows that this new method is effective.
DOI:10.1109/ICII.2001.983794