Robust Adaptive Identification of Linear Time-Varying Systems Under Relaxed Excitation Conditions

摘要: An on-line modified least-squares identification algorithm is proposed for linear time-varying systems with bounded disturbances under relaxed excitation conditions. extra term which enhances the tracking ability parameters added to covariance’s update law. indicator of regressor’s level based on maximum eigenvalue covariance matrix developed. By combining its variation trend shown by sensitivity change in matrix, a novel law, switched between and gradient fixed $\sigma $ -modification, proposed. The boundedness estimation error are guaranteed via Lyapunov stability theory. superiority method verified simulations.