Recursive algorithms for identification in closed loop: A unified approach and evaluation

A unified presentation of recursive algorithms for plant model identification in closed loop is given. From the basic formulation of the problem of finding the plant model that gives the best predictor for the closed-loop system, two families of algorithms using either a reparameterized predictor fo...

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Bibliographic Details
Published in:Automatica (Oxford) 1997, Vol.33 (8), p.1499-1523
Main Authors: Landau, Ioan Dorè, Karimi, Alireza
Format: Article
Language:English
Subjects:
Applied sciences
closed-loop identification
Computer science
control theory
systems
Control theory. Systems
convergence
Exact sciences and technology
Identification algorithms
Modelling and identification
robustness
stability
validation
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Summary:A unified presentation of recursive algorithms for plant model identification in closed loop is given. From the basic formulation of the problem of finding the plant model that gives the best predictor for the closed-loop system, two families of algorithms using either a reparameterized predictor for the closed loop or a plant predictor operating on filtered data are presented, and their asymptotic properties are examined. Validation tests for the models identified in closed loop are proposed. A comparative evaluation of the various algorithms in simulation and on real-time experiments concludes the paper.
ISSN:0005-1098
1873-2836
DOI:10.1016/S0005-1098(97)00061-7