Existence and Exponential Stability ofPeriodic Solution for a Class of GeneralizedNeural Networks with Arbitrary Delays

[摘要] By the continuation theorem of coincidence degree and M-matrix theory, we obtain some sufficient conditions for the existence and exponential stability of periodic solutions for a class of generalized neural networks with arbitrary delays, which are milder and less restrictive than those of previous known criteria. Moreover our results generalize and improve many existing ones.

[发布日期] 2009-12-13