A Discontinuous Adaptive Sliding-Mode Observer for a Class of Uncertain Nonlinear Systems

Marcelino Hector Rios Zarzosa, D. Efimov, W. Perruquetti

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

In this paper the problem of simultaneous state and parameter estimation is studied for a class of uncertain nonlinear systems. A discontinuous adaptive sliding-mode observer is proposed based on a discontinuous nonlinear parameter estimation algorithm. It is shown that such an algorithm provides a rate of convergence faster than exponential. Then, the proposed discontinuous parameter estimation algorithm is included in the structure of a sliding-mode state observer providing an ultimate bound for the full estimation error. Some simulation results illustrate the feasibility of the proposed adaptive sliding-mode observer.

Original languageEnglish
Pages (from-to)3319-3324
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 2017
Externally publishedYes

Keywords

  • Adaptive observer
  • Nonlinear systems
  • Sliding-modes

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