Dominant pole analysis of stable time-delay positive systems

Yoshio Ebihara, Dimitri Peaucelle, Denis Arzelier, Frédéric Gouaisbaut

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


This study is concerned with the dominant pole analysis of asymptotically stable time-delay positive systems (TDPSs). It is known that a TDPS is asymptotically stable if and only if its corresponding delay-free system is asymptotically stable, and this property holds irrespective of the length of delays. However, convergence performance (decay rate) should degrade according to the increase of delays and this intuition motivates us to analyse the dominant pole of TDPSs. As a preliminary result, in this study, the authors show that the dominant pole of a TDPS is always real. They also construct a bisection search algorithm for the dominant pole computation, which readily follows from recent results on á-exponential stability of asymptotically stable TDPSs. Then, they next characterise a lower bound of the dominant pole as an explicit function of delays. On the basis of the lower bound characterisation, they finally show that the dominant pole of an asymptotically stable TDPS is affected by delays if and only if associated coefficient matrices satisfy eigenvalue-sensitivity condition to be defined in this study. Moreover, they clarify that the dominant pole goes to zero (from negative side) as time-delay goes to infinity if and only if the coefficient matrices are eigenvalue-sensitive.

Original languageEnglish
Pages (from-to)1963-1971
Number of pages9
JournalIET Control Theory and Applications
Issue number17
Publication statusPublished - Nov 1 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering


Dive into the research topics of 'Dominant pole analysis of stable time-delay positive systems'. Together they form a unique fingerprint.

Cite this