Title | ||
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Recursive Bias-Compensating Algorithm For The Identification Of Dynamical Bilinear Systems In The Errors-In-Variables Framework |
Abstract | ||
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The paper investigates a recursive approach for the bias compensating least squares (BCLS) technique. The method presented is applied to the problem of on-line identification of single-input single-output bilinear models in the errors-in-variables framework. Within this framework the recursive bilinear BCLS algorithm is realized when a bilinear Frisch scheme (BFS) is iteratively applied for the estimation of the parameters of an exemplary bilinear system, giving rise to the exact recursive BFS (ERBFS) method. Moreover, a further extension of the ERBFS incorporating Tikhonov regularization with variable exponential weighting is considered and this is shown to be beneficial in the initial period of the identification procedure. |
Year | Venue | Keywords |
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2008 | ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL SPSMC: SIGNAL PROCESSING, SYSTEMS MODELING AND CONTROL | bias compensation, bilinear systems, errors-in-variables, recursive estimation, regularization, system identification |
Field | DocType | Citations |
Bilinear map,Errors-in-variables models,Bilinear systems,Algorithm,System of bilinear equations,Engineering,Recursion,Bilinear interpolation | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tomasz Larkowski | 1 | 4 | 3.14 |
Jens G. Linden | 2 | 4 | 2.80 |
Benoit Vinsonneau | 3 | 3 | 1.42 |
Keith J. Burnham | 4 | 62 | 13.88 |