Adaptive identification as gain scheduling

Ryo Watanabe, Kenko Uchida

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

Abstract

In this paper, we consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on parameter dependent Lyapunov function.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
Pages1532-1537
Number of pages6
DOIs
Publication statusPublished - 2002 Sep 10
Event2002 American Control Conference - Anchorage, AK, United States
Duration: 2002 May 82002 May 10

Publication series

NameProceedings of the American Control Conference
Volume2
ISSN (Print)0743-1619

Other

Other2002 American Control Conference
CountryUnited States
CityAnchorage, AK
Period02/5/802/5/10

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Keywords

  • Adaptive identification
  • Gain scheduling
  • Linear parameter varying system
  • Parameter dependent Lyapunov function

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Watanabe, R., & Uchida, K. (2002). Adaptive identification as gain scheduling. In Proceedings of the American Control Conference (pp. 1532-1537). (Proceedings of the American Control Conference; Vol. 2). https://doi.org/10.1109/ACC.2002.1023239