Finite-Time Identification Algorithm based on Time-Varying Homogeneity and Lyapunov Approach

Marcelino Hector Rios Zarzosa, D. Efimov, J. A. Moreno, W. Perruquetti

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

In this paper the problem of time-varying parameter identification is studied. To this aim, an identification algorithm is developed in order to identify time-varying parameters in a finite-time. The convergence proofs are based on a notion of finite-time stability over finite intervals of time, i.e. Short-finite-time stability; homogeneity for time-varying systems; and Lyapunov function approach. The algorithm asks for a condition over the regressor term which is related to the classic identifiability condition corresponding to the injectivity of such a term. Simulation results illustrate the feasibility of the proposed algorithm.

Original languageEnglish
Pages (from-to)434-439
Number of pages6
JournalIFAC-PapersOnLine
Volume49
Issue number18
DOIs
StatePublished - 2016
Externally publishedYes

Keywords

  • Finite-Time
  • Identification
  • Time-varying parameters

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