Robust tracking for a class of uncertain switched linear systems based on the uncertainty and disturbance estimator

Rongwei Guo, Jiguo Dai, Beibei Ren

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

Abstract

The robust tracking problem of a class of linear switched systems with both model uncertainty and external disturbance is investigated. Firstly, some new stability results for the linear switched systems with external disturbance are obtained in the following two cases: One is under arbitrary switching paths, the other is under switching paths with average dwell time. Secondly, a robust switched control strategy based on the existing uncertainty and disturbance estimator (UDE)-based control method is developed for a class of linear switched system with both model uncertainty and external disturbance. The asymptotic stability of the closed-loop linear switched system is established under the above two mentioned switching paths. Finally, the important features and good performance of the proposed method are demonstrated through numerical simulation studies.

Original languageEnglish
Title of host publication2017 Asian Control Conference, ASCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2889-2894
Number of pages6
ISBN (Electronic)9781509015733
DOIs
StatePublished - Feb 7 2018
Event2017 11th Asian Control Conference, ASCC 2017 - Gold Coast, Australia
Duration: Dec 17 2017Dec 20 2017

Publication series

Name2017 Asian Control Conference, ASCC 2017
Volume2018-January

Conference

Conference2017 11th Asian Control Conference, ASCC 2017
CountryAustralia
CityGold Coast
Period12/17/1712/20/17

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    Guo, R., Dai, J., & Ren, B. (2018). Robust tracking for a class of uncertain switched linear systems based on the uncertainty and disturbance estimator. In 2017 Asian Control Conference, ASCC 2017 (pp. 2889-2894). (2017 Asian Control Conference, ASCC 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2017.8287636