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Cascade integral observer based feedback linearization of nonlinear time-delay systems

  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It is well known that traditional high gain observers face peaking problem during the transient period, this undesirable properties could cause more serious degradation if the systems is attached with time delay. This paper solves this problem by constructing a cascade integral observer to estimate the future states of time-delay systems. With a distinctive structure, the predictive observer, which is also called predictor, can handle time-varying delays and eliminate the "peaking phenomenon" during the transient period. Then, a predictor-based output feedback control is designed to guarantee the boundedness of system states. Lyapunov-Krasovskii functional and perturbation theories are used to prove the convergence of the estimation error and the closed-loop system. Finally, a numerical example illustrates the effectiveness of the proposed methodology.

Original languageEnglish
Title of host publicationProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4720-4725
Number of pages6
ISBN (Electronic)9781728158549
DOIs
StatePublished - Aug 2020
Event32nd Chinese Control and Decision Conference, CCDC 2020 - Hefei, China
Duration: 22 Aug 202024 Aug 2020

Publication series

NameProceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020

Conference

Conference32nd Chinese Control and Decision Conference, CCDC 2020
Country/TerritoryChina
CityHefei
Period22/08/2024/08/20

Keywords

  • Feedback linearization
  • high-gain observer
  • nonlinear systems
  • time-varying delay

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