Abstract
Subtractive clustering is used to generate an initial T-S fuzzy model with the appropriate rule number and performance index by adjusting the radius of a cluster center. To acquire a T-S fuzzy model with perfect performance, Adaptive nuero-fuzzy inference system (ANFIS) is combined to fine tune the premise parameters and consequent parameters by means of a hybrid gradient descent (GD) and least-squares estimation (LSE). A simulation to a dynamic nonlinear system demonstrates the effective of this method.
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