|New stability analysis for generalized neural networks with interval time-varying delays
Yanmin Liu, Junkang Tian*, Zerong Ren
International Journal of Control, Automation, and Systems, vol. 15, no. 4, pp.1600-1610, 2017
Abstract : "This paper deals with the problem of delay-dependent stability for neural networks with interval timevarying
delays. First, we divided delay interval into two parts. Second, a new Lyapunov-Krasovskii functional is
constructed, and relationships between the augmented state vectors have been fully considered, which may yield
less conservative results. Third, based on free-matrix-based integral inequality method and reciprocally convex
technique, some new less conservative delay-dependent stability criteria have been obtained by combining with the
new Lyapunov-Krasovskii functional. Finally, two numerical examples are given to show the effectiveness of the
derived conditions over the existing ones."
Interval time-varying delay, linear matrix inequalities (LMIs), neural networks, stability analysis.