DocumentCode :
8154
Title :
New stability criterion using a matrix-based quadratic convex approach and some novel integral inequalities
Author :
Xian-Ming Zhang ; Qing-Long Han
Author_Institution :
Centre for Intell. & Networked Syst., Central Queensland Univ., Rockhampton, QLD, Australia
Volume :
8
Issue :
12
fYear :
2014
fDate :
August 14 2014
Firstpage :
1054
Lastpage :
1061
Abstract :
This study is concerned with the stability of a linear system with an interval time-varying delay. First, a new augmented Lyapunov-Krasovskii functional (LKF) is constructed, which includes three integral terms in the form of ∫t-ht(h-t)+)s)jTRjẋ(s) ds (j)=) 1, 2, 3). Second, three novel integral inequalities are established to estimate the upper bounds of the integrals ∫t-ht(h-t)+)s)jTRjẋ(s) ds (j)=) 0, 1, 2) appearing in the derivative of the LKF. Third, a matrix-based quadratic convex approach is introduced to prove not only the negative definiteness of the derivative of the LKF along with the trajectory of the system, but also the positive definiteness of the LKF. Finally, a novel delay-derivative-dependent stability criterion is formulated. The effectiveness of the stability criterion is shown through two numerical examples.
Keywords :
convex programming; integral equations; matrix algebra; quadratic programming; stability; LKF; augmented Lyapunov-Krasovskii functional; delay derivative dependent stability criterion; integral terms; interval time-varying delay; linear system; matrix-based quadratic convex approach; novel integral inequalities; positive definiteness;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2013.0840
Filename :
6869218
Link To Document :
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