Structured set membership identification of nonlinear systems with application to vehicles with controlled suspension

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Structured set membership identification of nonlinear systems with application to vehicles with controlled suspension

Milanese, Mario / Novara, Carlo

An iterative algorithm is considered for the identification of structured nonlinear systems. The systems considered consist of the interconnection of a MIMO (Multi-Input, Multi-Output) linear systems and a MIMO nonlinear system. The considered interconnection structure can represent as particular cases Hammerstein, Wiener or Lure systems. A key feature of the proposed method is that the nonlinear subsystem may be dynamic and is not assumed to have a given parametric form. In this way the complexity/accuracy problems posed by the proper choice of the suitable parametrization of the nonlinear subsystem are circumvented. Moreover, the simulation error of the overall model is shown to be a nonincreasing function of the number of algorithm iteration. The effectiveness of the algorithm is tested on the problem of identifying a model for vertical dynamics of vehicles with controlled suspensions from both simulated and experimental data.

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Title :

Structured set membership identification of nonlinear systems with application to vehicles with controlled suspension

Additional title:

Identifikation von nichtlinearen Systemen mittels strukturierten Zugehörigkeitsfunktionen und deren Anwendung für Fahrzeuge mit einer geregelten Radaufhängung

Contributors:

Milanese, Mario (author) / Novara, Carlo (author)

Published in:

Control Engineering Practice ; 15 , 1 ; 1-16

Publication date :

2007

Size :

16 Seiten, 17 Bilder, 4 Tabellen, 24 Quellen

ISSN :

0967-0661

DOI :

https://doi.org/10.1016/j.conengprac.2006.01.001