Global exponential stability of cellular neural networks with mixed delays and impulses
A class of cellular neural networks with mixed delays and impulses is studied. The authors prove some sufficient conditions for the existence and global exponential stability of the equilibrium point. They apply in the proofs a fixed point theorem and differential inequality technique. One example is presented as well.
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