IEEE Transactions on Automatic Control, Vol.40, No.5, 933-936, 1995
Unbiased Identification of Systems with Nonparametric Uncertainty
The set-membership identification of systems with parametric and nonparametric uncertainty is studied in this note. The bias induced by the additive noise is eliminated by using the bias-eliminated least squares method proposed in [5]. A prefilter is connected to the input terminal of the system, so that some zeros are inserted to the system. By using the information obtained from these known zeros, the bias induced by the additive noise is eliminated.