A new approach to adaptive impulsive observer design for nonlinear systems

Wu-Hua Chen, Wu Yang, Wei Xing Zheng

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

![CDATA[In this paper a new approach is developed for designing adaptive impulsive observers for nonlinear systems with unknown parameters. The basic idea behind the new approach is that an impulsive differential equation is adopted as a model for the desired adaptive impulsive observer, while an impulse-free time-varying differential equation associated with the impulse time sequence is utilized as a model for the parameter estimation law. The designed adaptive impulsive observer is able to estimate both the state and unknown parameters of nonlinear systems. Moreover, the time-varying weighted Lyapunov functions are applied to derive some sufficient conditions for the convergence and stability of the designed adaptive impulsive observer. The effectiveness of the new design approach is validated with the Lorenz system.]]
Original languageEnglish
Title of host publicationProceedings of the 54th IEEE Conference on Decision and Control (CDC 2015): Osaka, Japan, 15-18 December, 2015
PublisherIEEE
Pages1619-1624
Number of pages6
ISBN (Print)9781479978861
DOIs
Publication statusPublished - 2015
EventIEEE Conference on Decision & Control -
Duration: 15 Dec 2015 → …

Publication series

Name
ISSN (Print)0743-1546

Conference

ConferenceIEEE Conference on Decision & Control
Period15/12/15 → …

Keywords

  • Lyapunov functions
  • nonlinear systems
  • parameter estimation

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