Convex optimization based dual gain observer design for Lipschitz nonlinear systems

A. Zemouche, R. Rajamani, B. Boulkroune, H. Rafaralahy, M. Zasadzinski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

This paper deals with observer design for nonlinear Lipschitz systems via Linear Matrix Inequalities (LMIs). Based on some recent work on the LPV approach, less conservative results are provided. To obtain LMIs, algorithms are proposed to design, a priori, some suitable observer parameters that enhance the feasibility of the LMIs. Interesting guidelines and techniques are proposed to reduce the number of LMIs of the classical LPV approach, decrease the effect of huge values of Lipschitz constant, which is the weakness of the standard LMI approaches.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages125-130
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Other

Other2016 American Control Conference, ACC 2016
CountryUnited States
CityBoston
Period7/6/167/8/16

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Keywords

  • Convex optimization
  • LMI approach
  • Lipschitz systems
  • Observers design

Cite this

Zemouche, A., Rajamani, R., Boulkroune, B., Rafaralahy, H., & Zasadzinski, M. (2016). Convex optimization based dual gain observer design for Lipschitz nonlinear systems. In 2016 American Control Conference, ACC 2016 (pp. 125-130). [7524903] (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7524903