Search for: [Abstract = "In this paper, a unified nonlinear modeling and control scheme is presented. A self\-structuring Takagi\-Sugeno \(T\-S\) fuzzy model is used to approximate the unknown nonlinear plant based on I\/O data collected on\-line. Both the structure and the parameters of the T\-S fuzzy model are updated by an on\-line clustering method and a recursive least squares estimation \(RLSE\) algorithm. The rules of the fuzzy model can be added, replaced or deleted on\-line to allow a more flexible and compact model structure."]

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