Abstract
The global power stability of a class of cellular neural networks with proportional delay is considered in this paper. By proposing a new integral inequality and constructing a Lyapunov functional candidate, a novel delay-dependent condition formulated by linear matrix inequalities is derived to ensure that the equilibrium point of the addressed networks achieves global power stability. The proposed criteria complement and improve some existing results in the recent publications, and their effectiveness and advantage are demonstrated by two numerical examples.
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