Nonparametric Identification of Weighting Function by Orthogonal Series Method

A nonparametric algorithm for identifying the weighting function in linear dynamic continuous-time systems is proposed. The algorithm is derived from orthogonal series estimates of derivatives of regression functions. Asymptotic properties are investigated for a general orthogonal system and sufficient conditions for convergence in the sense of the mean square error are given.