Extracting compact fuzzy rules for nonlinear system modeling using subtractive clustering, GA and unscented filter

Case studies are given to illustrate the efficiency of the modeling procedure. Benchmark examples are analyzed and the results are compared with those obtained by Adaptive Nero-fuzzy Inference System (ANFIS). In all cases enhanced performance and superior results are obtained from the proposed procedure.