Resumen
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.
Idioma original | Inglés |
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Páginas (desde-hasta) | 3319-3324 |
Número de páginas | 6 |
Publicación | IFAC-PapersOnLine |
Volumen | 50 |
N.º | 1 |
DOI | |
Estado | Publicada - jul. 2017 |
Nota bibliográfica
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