NOVEL STABILITY CONDITIONS FOR CELLULAR NEURAL NETWORKS WITH TIME DELAY
2001 ◽
Vol 11
(07)
◽
pp. 1853-1864
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Keyword(s):
In this paper, the global asymptotic stability of cellular neural networks with time delay is discussed using some novel Lyapunov functionals. Novel sufficient conditions for this type of stability are derived. They are less restrictive and more practical than those currently used. As a result, the design of cellular neural networks with time delay is refined. Our work can also be generalized to cellular neural networks with time-varying delay, a topic on which little research work has been done. By means of several different Lyapunov functionals, some sufficient conditions related to the global asymptotic stability for cellular neural networks with perturbations of time-varying delays are derived.
2010 ◽
Vol 37
(12)
◽
pp. 7737-7744
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2018 ◽
Vol 57
(3)
◽
pp. 228
2007 ◽
Vol 34
(4)
◽
pp. 1213-1219
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2021 ◽
Vol 389
◽
pp. 125498
◽
2008 ◽
Vol 372
(22)
◽
pp. 3971-3977
◽
2017 ◽
Vol 48
(2)
◽
pp. 995-1017
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Keyword(s):
2002 ◽
Vol 8
(1)
◽
pp. 13-18
◽
2011 ◽
Vol 30
(6)
◽
pp. 1595-1616
◽
2010 ◽
Vol 139-141
◽
pp. 1714-1717