An error bound for model reduction of Lur'e-type systems

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Abstract

In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper, a model reduction procedure for absolutely stable Lur’e-type systems is presented, where conditions to ensure absolute stability of the reduced-order model as well as an error bound are given. The proposed model reduction procedure exploits linear model reduction techniques for the reduction of the linear part of the Lur’e-type system. Hence, the proposed model reduction strategy is computationally attractive. Moreover, both stability and the error bound for the obtained reduced-order model hold for an entire class of nonlinearities. The results are illustrated by application to a nonlinear mechanical system.
Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference (CDC / CCC), 16-18 December 2009, Shanghai, China
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages3264-3269
ISBN (Print)978-1-4244-3871-6
DOIs
Publication statusPublished - 2009

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