Comparison of the Convergence of IIR Evolutionary Digital Filters and Other Adaptive Digital Filters on a Multiple-Peak Surface

This paper demonstrates the comparison of the conver-gence behavior of the IIR evolutionary digital filter (IIR-EDF), the LMS adaptive digital filter (LMS-ADF) and the adaptive digital filter based on the simple genetic algorithm (SGA-ADF) on a multiple-peak surface. In numerical ex-amples, the authors use reduced-order system identification to simulate a multiple-peak surface in which local mini-mum problems can be encountered. The experimental re-sults show that the EDF adaptive algorithm can search the global minimum in the multiple-peak surface of these exam-ples and has smaller adaptation noise than the other algo-rithms.