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Finite‐time stability of CNNs with neutral proportional delays and time‐varying leakage delays
Author(s) -
Liu Bingwen
Publication year - 2016
Publication title -
mathematical methods in the applied sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 65
eISSN - 1099-1476
pISSN - 0170-4214
DOI - 10.1002/mma.3976
Subject(s) - mathematics , leakage (economics) , exponential stability , stability (learning theory) , cellular neural network , control theory (sociology) , exponential function , partial differential equation , exponential growth , mathematical analysis , artificial neural network , computer science , nonlinear system , physics , control (management) , quantum mechanics , machine learning , artificial intelligence , economics , macroeconomics
In this paper, a class of cellular neural networks with neutral proportional delays and time‐varying leakage delays is considered. Some results on the finite‐time stability for the equations are obtained by using the differential inequality technique. In addition, an example with numerical simulations is given to illustrate our results, and the generalized exponential synchronization is also established. Copyright © 2016 John Wiley & Sons, Ltd.