Implicit adaptive observer for a class of nonlinear systems

Qinghua Zhang, Aiping Xu

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

16 Citations (Scopus)

Abstract

The authors propose a nonlinear adaptive observer for joint state and parameter estimation with global convergence. The considered class of nonlinear systems is the one originally considered for the design of high gain observers with an additional term involving a single unknown parameter. It is the fruit of mixing techniques of high gain observers, implicit observers in the form of differential-algebraic equations, and of some new idea for implicit adaptive observers. Potential applications of such adaptive observers are fault detection and isolation, and adaptive control.
Original languageEnglish
Title of host publicationProceedings of the 2001 American Control Conference. (Cat. No.01CH37148)
Pages1551-1556
Number of pages6
DOIs
Publication statusPublished - 2001
Externally publishedYes
EventAmerican Control Conference, 2001 - Arlington, United States
Duration: 25 Jun 200127 Jun 2001

Conference

ConferenceAmerican Control Conference, 2001
CountryUnited States
CityArlington
Period25/06/0127/06/01

Keywords

  • Nonlinear systems
  • Observers
  • State estimation
  • Convergence
  • Adaptive control
  • Parameter estimation
  • Fault detection
  • Differential equations
  • Nonlinear equations
  • Programmable control

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  • Cite this

    Zhang, Q., & Xu, A. (2001). Implicit adaptive observer for a class of nonlinear systems. In Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148) (pp. 1551-1556) https://doi.org/10.1109/ACC.2001.945947