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Parametric identification of structured nonlinear systems

โœ Scribed by C. Novara; T. Vincent; K. Hsu; M. Milanese; K. Poolla

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
630 KB
Volume
47
Category
Article
ISSN
0005-1098

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โœฆ Synopsis

In this paper, identification of structured nonlinear systems is considered. Using linear fractional transformations (LFT), the a priori information regarding the structural interconnection is systematically exploited. A parametric approach to the identification problem is investigated, where it is assumed that the linear part of the interconnection is given and the input to the nonlinear part is measurable. An algorithm for the identification of the nonlinear part is proposed. The uniqueness properties of the estimate provided by the algorithm are examined. It is shown that the estimate converges asymptotically to its true value under a certain persistence of excitation condition. Two simulated examples and a real-data example are presented to show the effectiveness of the proposed algorithm.

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