title: New delay dependent stability criteria for recurrent neural networks with interval time-varying delay.
abstract: This paper is concerned with the delay dependent stability criteria for a class of static recurrent neural networks with interval time-varying delay. By choosing an appropriate Lyapunov-Krasovskii functional and employing a delay partitioning method, the less conservative condition is obtained. Furthermore, the LMIs-based condition depend on the lower and upper bounds of time delay. Finally, a numerical example is also designated to verify the reduced conservatism of developed criteria.
authors.affiliation: School of Mathematics and Computer Science, Mianyang Normal University, Mianyang, Sichuan 621000, PR China.
authors.forename: Qiongfen
authors.initials: Q
authors.lastname: Yang
authors.affiliation: School of Mathematics and Computer Science, Mianyang Normal University, Mianyang, Sichuan 621000, PR China.
authors.forename: Quanhong
authors.initials: Q
authors.lastname: Ren
authors.affiliation: School of Marxism, Mianyang Normal University, Mianyang, Sichuan 621000, PR China.
authors.forename: Xuemei
authors.initials: X
authors.lastname: Xie
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D012815:Signal Processing, Computer-Assisted
keywords: Linear matrix inequality; Recurrent neural networks; Time delay