Wilcoxon adaptive algorithms for robust identification

Abstract

By minimising the weighted Wilcoxon norm instead of the weighted Euclidean norm as the cost function, two new Wilcoxon adaptive algorithms are presented. The simulation results in a system identification scenario clearly indicate that the proposed algorithms have superior performance compared with the conventional algorithms when the system output data are contaminated by outliers and the input data are highly correlated.