BIAS-COMPENSATED ADAPTIVE OBSERVER FOR A CONTINUOUS-TIME MODEL ESTIMATION

In this paper, a bias-compensating method for a continuous-time model estimation by using adaptive observer is proposed. It is assumed that the observation noise is a white Gaussinan signal while there are no process noises. The proposed method is applicable for the identification in the closed loop environment.