Combined algorithm for time-varying system based on the damped least-squares estimation algorithm and improved genetic algorithm

A combined algorithm based on the modified genetic algorithm and the damped least-squares (DLS) algorithm are presented in this paper. A dead zone is added to enhance the robustness of the improved algorithm. A modified genetic algorithm with dyadic mutation operator is also presented to enhance the response speed of genetic algorithm. The selection criteria of the switching threshold between the GA and the DLS algorithm are also given by using the robust min-max estimation method. This combined algorithm solves the tracking problem of time-varying system with fast parameter changes, which is very difficult to the general RLS algorithm. It is not sensitive to the noise. Its good performance is verified by simulation studies.