title: New delay-dependent stability criteria for neural networks with two additive time-varying delay components.
abstract: This brief is concerned with delay-dependent stability for neural networks with two additive time-varying delay components. By constructing a new Lyapunov functional and using a convex polyhedron method to estimate the derivative of the Lyapunov functional, some new delay-dependent stability criteria are derived. These stability criteria are less conservative than some existing ones. An example is given to demonstrate the less conservatism of the stability results.
authors.affiliation: School of Electrical and Information Automation, QufuNormal University, Rizhao, Shandong, China. hanyongshao@163.com
authors.forename: Hanyong
authors.initials: H
authors.lastname: Shao
authors.forename: Qing-Long
authors.initials: QL
authors.lastname: Han
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D055641:Mathematical Concepts; D008962:Models, Theoretical; D016571:Neural Networks, Computer; D011930:Reaction Time; D013997:Time Factors