Titre :

Estimation of non-separable regressions containing parameter dependent exponential functions

Auteur(s) :

Ushirobira, Rosane [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Efimov, Denis [Auteur]
Finite-time control and estimation for distributed systems [VALSE]
Romero, Jose [Auteur]
Instituto Tecnológico Autónomo de México [ITAM]
Ortega, Romeo [Auteur]
Instituto Tecnológico Autónomo de México [ITAM]

Titre de la manifestation scientifique :

63rd IEEE Conference on Decision and Control - CDC 2024

Ville :

Milan

Pays :

Italie

Date de début de la manifestation scientifique :

2024-12-16

Discipline(s) HAL :

Informatique [cs]/Automatique

Résumé en anglais : [en]

This paper presents a method for generating a separable regression function from a nonseparable one, enabling the application of parameter estimation methods. In particular, we are interested in regressions containing ...
Lire la suite >This paper presents a method for generating a separable regression function from a nonseparable one, enabling the application of parameter estimation methods. In particular, we are interested in regressions containing parameter-dependent exponential functions -a scenario often encountered in physical systems. Our approach is based on algebraic techniques with the so-called annihilator theory and utilizes an intermediate approximation of the nonlinear part by a polynomial function of the time. Two operators are proposed to define the annihilators: time delays and differential operators. The efficiency of the proposed approach is demonstrated in a nonlinearly parameterized fuel cell estimation problem.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL