期刊论文

Xu, Changjin

英文

Neural Processing Letters

1370-4621

2020

51

3

2379-2402

10.1007/s11063-020-10203-0

National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61673008]; Project of High-level Innovative Talents of Guizhou Province [[2016]5651]; Major Research Project of The Innovation Group of The Education Department of Guizhou Province [[2017]039]; Project of Key Laboratory of Guizhou Province with Financial and Physical Features [[2017]004]; Foundation of Science and Technology of Guizhou Province [[2019]1051]; Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering (Changsha University of Science Technology) [2018MMAEZD21]; University Science and Technology Top Talents Project of Guizhou Province [KY[2018]047]; Guizhou University of Finance and Economics [2018XZD01]

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In this manuscript, fuzzy delayed cellular neural networks with impulse are studied. Applying time scale calculus knowledge, mathematical inequalities and constructing Lyapunov function, we establish a sufficient criterion that guarantees the existence and exponential stability of anti-periodic solutions for fuzzy delayed cellular neural networks with impulse. In addition, an example with its numerical simulations is given to illustrate our theoretical predictions. © 2020, Sp...