Resumen
This paper suggests a novel continuous-time robust extremum seeking algorithm for an unknown convex function constrained by a dynamical plant with uncertainties. The main idea of the proposed method is to develop a robust closed-loop controller based on sliding modes where the sliding surface takes the trajectory around a zone of the optimal point. We assume that the output of the plant is given by the states and a measure of the function. We show the stability and zone-convergence of the proposed algorithm. In order to validate the proposed method, we present a numerical example.
Idioma original | Inglés |
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Páginas (desde-hasta) | 703-712 |
Número de páginas | 10 |
Publicación | International Journal of Applied Mathematics and Computer Science |
Volumen | 29 |
N.º | 4 |
DOI | |
Estado | Publicada - 1 dic. 2020 |