Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion

A. Hamaz, K. Chaib Draa, A. Zemouche, F. Bedouhene, R. Rajamani

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

Abstract

This paper deals with nonlinear observer design for a class of nonlinear systems with nonlinear output measurements. The proposed methodology uses Linear Matrix Inequalities (LMIs) to handle the problem of mathcal{W}-{1,2} -Convergence criterion. Some new assumptions and recent convenient Young's formulation are used to get less conservative LMI conditions compared to the literature. Indeed, the obtained LMIs contain additional decision variables, which render the conditions more general. In addition, the class of systems studied in this paper is more general than those available in the literature in the same context.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6556-6560
Number of pages5
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

Fingerprint

Descriptor Systems
Observer Design
Optimality Criteria
Linear matrix inequalities
Matrix Inequality
Nonlinear systems
Linear Inequalities
Nonlinear Systems
Output
Nonlinear Observer
Convergence Criteria
Methodology
Formulation
Class

Keywords

  • Descriptor systems
  • LMIs
  • W12-stability
  • nonlinear systems

Cite this

Hamaz, A., Draa, K. C., Zemouche, A., Bedouhene, F., & Rajamani, R. (2019). Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 6556-6560). [8618875] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8618875

Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion. / Hamaz, A.; Draa, K. Chaib; Zemouche, A.; Bedouhene, F.; Rajamani, R.

2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. p. 6556-6560 8618875 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

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

Hamaz, A, Draa, KC, Zemouche, A, Bedouhene, F & Rajamani, R 2019, Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8618875, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers Inc., pp. 6556-6560, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8618875
Hamaz A, Draa KC, Zemouche A, Bedouhene F, Rajamani R. Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion. In 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc. 2019. p. 6556-6560. 8618875. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2018.8618875
Hamaz, A. ; Draa, K. Chaib ; Zemouche, A. ; Bedouhene, F. ; Rajamani, R. / Observer Design of Descriptor Nonlinear System with N onlinear Outputs by Using W12 -Optimality Criterion. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 6556-6560 (Proceedings of the IEEE Conference on Decision and Control).
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