An output error recursive algorithm for unbiased identification in closed loop

doi:10.1016/S0005-1098(96)00223-3

1997-05-01

Ioan Dorè Landau *

Alireza Karimi

DOI：10.1016/S0005-1098(96)00223-3

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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 flexible transmission illustrate the performances of the proposed algorithm. (C) 1997 Elsevier Science Ltd.

Keyword:

identification algorithms

output-error identification

stability analysis

convergence analysis

passivity