Computer algebra methods for the stability analysis of differential systems with commensurate time-delays - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2016

Computer algebra methods for the stability analysis of differential systems with commensurate time-delays

Abstract

This paper is devoted to the study of the stability of linear differential systems with commensurate delays. Within the frequency-domain approach, it is well-known that the asymptotic stability of such systems is ensured by the condition that all the roots of the corresponding quasipolynomial have negative real parts. A classical approach for checking this condition consists in computing the set of critical zeros of the quasipolynomial, i.e., the roots (and the corresponding delays) of the quasipolynomial that lie on the imaginary axis, and then analyzing the variation of these roots with respect to the variation of the delay. Following this approach, based on solving algebraic systems techniques, we propose a certified and efficient symbolic-numeric algorithm for computing the set of critical roots of a quasipolynomial. Moreover, using recent algorithmic results developed by the computer algebra community, we present an efficient algorithm for the computation of Puiseux series at a critical zero which allows us to finely analyze the stability of the system with respect to the variation of the delay. Explicit examples are given to illustrate our algorithms.
Fichier principal
Vignette du fichier
stability_delays2.pdf (343.12 Ko) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-01415282 , version 1 (29-12-2016)

Identifiers

  • HAL Id : hal-01415282 , version 1

Cite

Yacine Bouzidi, Adrien Poteaux, Alban Quadrat. Computer algebra methods for the stability analysis of differential systems with commensurate time-delays. 13th IFAC Workshop on Time Delay Systems , Jun 2016, Istanbul, Turkey. pp.6. ⟨hal-01415282⟩
191 View
146 Download

Share

Gmail Mastodon Facebook X LinkedIn More