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Stability analysis of linear systems with time-varying delays: Delay uncertainty and quenching

Abstract:
This paper addresses the problem of stability analysis of a class of linear systems with time-varying delays. We develop conditions for robust stability that can be tested using Semidefinite Programming using the Sum of Squares decomposition of multivariate polynomials and the LyapunovKrasovskii theorem. We show how appropriate LyapunovKrasovskii functionals can be constructed algorithmically to prove stability of linear systems with a variation in delay, by using bounds on the size and rate of change of the delay. We also explore the quenching phenomenon, a term used to describe the difference in behaviour between a system with fixed delay and one whose delay varies with time. Numerical examples illustrate changes in the stability window as a function of the bound on the rate of change of delay. © 2007 IEEE.
Publication status:
Published

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Publisher copy:
10.1109/CDC.2007.4434764

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Host title:
PROCEEDINGS OF THE 46TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-14
Pages:
4629-4634
Publication date:
2007-01-01
DOI:
ISSN:
0191-2216
ISBN:
9781424414970


Pubs id:
pubs:64636
UUID:
uuid:13716aac-d931-46d6-a69e-ef560f1ab1ae
Local pid:
pubs:64636
Source identifiers:
64636
Deposit date:
2012-12-19
ARK identifier:

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