An Output Error Recursive Algorithm for Unbiased Identification in Closed LoopReport as inadecuate




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Published in: Automatica, vol. 33, num. 5, p. 933-938 Publication date: 1997

The problem of unbiased recursive identification of a plant model in closed-loop operation is considered. A particular form of an output error predictor for the closed loop is introduced. This allows one to derive a parameter estimation algorithm for the plant model that is globally asymptotically stable and asymptotically unbiased in the presence of noise. The paper presents a stability analysis in a deterministic environment and a convergence analysis in the stochastic environment. Both require a mild sufficient passivity condition to be satisfied. Simulations and real-time experiments on a flexible transmission illustrate the performances of the proposed algorithm.

Keywords: Identification algorithms ; output-error identification ; stability analysis ; convergence analysis ; passivity Reference LA-ARTICLE-2007-038doi:10.1016/S0005-1098(96)00223-3





Author: Landau, Ioan Doré; Karimi, Alireza

Source: https://infoscience.epfl.ch/record/111971?ln=en







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