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Journal Articles Automatica Year : 2016

Enhancement of adaptive observer robustness applying sliding mode techniques

Abstract

The problem studied in this paper is one of improving the performance of a class of adaptive observer in the presence of exogenous disturbances. The $H\infty$ gains of both a conventional and the newly proposed sliding-mode adaptive observer are evaluated, to assess the effect of disturbances on the estimation errors. It is shown that if the disturbance is " matched " in the plant equations, then including an additional sliding-mode feedback injection term, dependent on the plant output, improves the accuracy of observation.

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Automatic
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Dates and versions

hal-01315009 , version 1 (12-05-2016)

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Denis Efimov, Christopher Edwards, Ali Zolghadri. Enhancement of adaptive observer robustness applying sliding mode techniques. Automatica, 2016, 72, pp.53-56. ⟨10.1016/j.automatica.2016.05.029⟩. ⟨hal-01315009⟩
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