On the necessity of sufficient LMI conditions for time-delay systems arising from Legendre approximation - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2022

On the necessity of sufficient LMI conditions for time-delay systems arising from Legendre approximation

Résumé

This work is dedicated to the stability analysis of time-delay systems with a single constant delay using the Lyapunov-Krasovskii theorem. This approach has been widely used in the literature and numerous sufficient conditions of stability have been proposed and expressed as linear matrix inequalities (LMI). The main criticism of the method that is often pointed out is that these LMI conditions are only sufficient, and there is a lack of information regarding the reduction of the conservatism. Recently, scalable methods have been investigated using Bessel-Legendre inequality or orthogonal polynomial-based inequalities. The interest of these methods relies on their hierarchical structure with a guarantee of reduction of the level of conservatism. However, the convergence is still an open question that will be answered for the first time in this paper. The objective is to prove that the stability of a time-delay system implies the feasibility of these scalable LMI, at a sufficiently large order of the Legendre polynomials. Moreover, the proposed contribution is even able to provide an analytic estimation of this order, giving rise to a necessary and sufficient LMI for the stability of time-delay systems.
Fichier principal
Vignette du fichier
Automatica_TDS_Paper_v2.pdf (570.99 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03435008 , version 1 (18-11-2021)
hal-03435008 , version 2 (15-03-2022)
hal-03435008 , version 3 (13-07-2022)

Identifiants

Citer

Mathieu Bajodek, Alexandre Seuret, Frédéric Gouaisbaut. On the necessity of sufficient LMI conditions for time-delay systems arising from Legendre approximation. 2022. ⟨hal-03435008v3⟩
81 Consultations
38 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More