Improved Transients in Multiple Frequencies Estimation via Dynamic Regressor Extension and Mixing
Résumé
A problem of performance enhancement for multiple frequencies estimation is studied. First, we consider a basic gradient-based estimation approach with global exponential convergence. Next, we apply dynamic regressor extension and mixing technique to improve transient performance of the basic approach and ensure non-strict monotonicity of estimation errors. Simulation results illustrate benefits of the proposed solution.
Domaines
Automatique / Robotique| Origine | Fichiers produits par l'(les) auteur(s) |
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