title: Exponential synchronization for fuzzy cellular neural networks with time-varying delays and nonlinear impulsive effects.
abstract: In this paper, the globally exponential synchronization of delayed fuzzy cellular neural networks with nonlinear impulsive effects are concerned. By utilizing inequality techniques and Lyapunov functional method, some sufficient conditions on the exponential synchronization are obtained based on [Formula: see text]-norm. Finally, a simulation example is given to illustrate the effectiveness of the theoretical results.
authors.affiliation: College of Mathematics and Computer Sciences, Zunyi Normal College, Zunyi, 563000 Guizhou People's Republic of China.
authors.forename: Hao
authors.initials: H
authors.lastname: Pu
authors.affiliation: College of Mathematics and Computer Sciences, Zunyi Normal College, Zunyi, 563000 Guizhou People's Republic of China.
authors.forename: Yanmin
authors.initials: Y
authors.lastname: Liu
authors.affiliation: College of Mathematics and Computer Sciences, Zunyi Normal College, Zunyi, 563000 Guizhou People's Republic of China.
authors.forename: Haijun
authors.initials: H
authors.lastname: Jiang
authors.affiliation: College of Mathematics and Computer Sciences, Zunyi Normal College, Zunyi, 563000 Guizhou People's Republic of China.
authors.forename: Cheng
authors.initials: C
authors.lastname: Hu
keywords: Exponential synchronization; Fuzzy cellular neural network; Nonlinear impulse; Time-varying delay