Convergence acceleration for observers by gain commutation

Denis Efimov*, Andrey Polyakov, Arie Levant, Wilfrid Perruquetti

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Increasing convergence rates of observers and differentiators for a class of nonlinear systems in the output canonical form (under presence of bounded matched disturbances, Lipschitz uncertainties and measurement noises) is investigated. A supervisory algorithm is designed that switches among different values of observer gains to accelerate the estimation. In the noise-free case, the presented switched-gain observer ensures global uniform time of convergence of the estimation error to the origin. In the presence of noise, the goals of overshoot reducing for the initial phase, acceleration of convergence and improvement of asymptotic precision of estimation are achieved. Efficiency of the proposed switching-gain observer is demonstrated by numerical comparison with a sliding mode and linear high-gain observers.

Original languageEnglish
Pages (from-to)2009-2018
Number of pages10
JournalInternational Journal of Control
Volume91
Issue number9
DOIs
StatePublished - 2 Sep 2018

Funding

FundersFunder number
Agence Nationale de la Recherche15 CE23 0007
Ministry of Education and Science of the Russian Federation
Government Council on Grants, Russian Federation074-U01

    Keywords

    • Observer
    • fixed-time convergence

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