Resumen
In this article, we deal with time-varying matrix estimation in continuous-time stochastic models under a coloured noise. The suggested estimation algorithm is based on the least squares method (LSM) with forgetting factor. The forming filter generating this 'coloured' noise from a standard 'white noise' is assumed to be partially known. An analysis of the convergence zone is presented. A numerical example illustrates the effectiveness of the proposed algorithm.
Idioma original | Inglés |
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Páginas (desde-hasta) | 2009-2020 |
Número de páginas | 12 |
Publicación | International Journal of Systems Science |
Volumen | 42 |
N.º | 12 |
DOI | |
Estado | Publicada - dic. 2011 |