Communication Dans Un Congrès Année : 2024

Constant Parameter Identification: An Accelerated Heavy-Ball-based Approach

Résumé

This paper contributes to designing a parameter identification algorithm for linear regression systems with constant unknown parameters. The proposed algorithm is based on an accelerated version of the heavy-ball method and uses a nonlinear version of Kreisselmeier's regressor extension. Moreover, it can identify constant parameters in a finite time under a persistent excitation condition. The local stability analysis is developed using a Lyapunov function approach. The applicability and effectiveness of the proposed parameter identification algorithm are illustrated through simulation results.

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Automatique
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Dates et versions

hal-04895369 , version 1 (18-01-2025)

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  • HAL Id : hal-04895369 , version 1

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Héctor Ríos, Denis Efimov, Rosane Ushirobira. Constant Parameter Identification: An Accelerated Heavy-Ball-based Approach. Proc. IEEE CDC, Dec 2024, MIlan, Italy. ⟨hal-04895369⟩
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