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)jẋTRjẋ(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)jẋTRjẋ(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
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