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Instrumental variable scheme for closed-loop LPV model identification
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DOI：10.1016/j.automatica.2012.06.037.png)
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Abstract
En 中文
Identification of real-world systems is often applied in closed loop due to stability, performance or safety constraints. However, when considering Linear Parameter-Varying (LPV) systems, closed-loop identification is not well-established despite the recent advances in prediction error approaches. Building on the available results, the paper proposes the closed-loop generalization of a recently introduced instrumental variable scheme for the identification of LPV-IO models with a Box-Jenkins type of noise model structures. Estimation under closed-loop conditions with the proposed approach is analyzed from the stochastic point of view and the performance of the method is demonstrated through a representative simulation example. (C) 2012 Elsevier Ltd. All rights reserved.
Keywords:
Linear parameter-varying systems
System identification
Refined instrumental variable
Box-Jenkins models
Journal
IF:
5.9
Papers:
1.2W
Citations:
5.2W
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Cited Papers
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