Abstract
Abstract In this paper, the parameter estimation of linear systems with input-output noisy data is considered. The system input and output are supposed to be corrupted by measurement noises, and the noise distributions are assumed to be unknown. For achieving an efficient parameter estimation, an lp norm iterative estimation algorithm (1
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