Nonlinear systems modeling via fuzzy logic rules
The authors propose a method for multi-input single-output systems to update on-line a fuzzy model by recursive updating of the cluster. Moreover, an identification algorithm suitable for on-line parameter estimation of nonlinear systems is presented. Two examples demonstrate the usefulness of the proposed method.
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