title: An improved global asymptotic stability criterion for delayed cellular neural networks.
abstract: A new Lyapunov-Krasovskii functional is constructed for delayed cellular neural networks, and the S-procedure is employed to handle the nonlinearities. An improved global asymptotic stability criterion is also derived that is a generalization of, and an improvement over, previous results. Numerical examples demonstrate the effectiveness of the criterion.
authors.forename: Yong
authors.initials: Y
authors.lastname: He
authors.forename: Min
authors.initials: M
authors.lastname: Wu
authors.forename: Jin-Hua
authors.initials: JH
authors.lastname: She
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted; D010363:Pattern Recognition, Automated; D025341:Principal Component Analysis