Stability of cellular neural networks and delayed cellular neural networks with nonpositive templates and nonmonotonic output functions
作者： M. Gilli
DOI: 10.1109/81.311541
关键词:
摘要: In this paper the problem of stability Cellular Neural Networks (CNN's) and Delayed (DCNN's) is addressed by means Lyapunov functions (functionals in delayed case); new classes nonpositive templates, describing CNN's DCNN's, are shown to be stable some conditions found ensuring complete dominant template DCNN's with nonmonotonic output functions. >
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sci-hub.se 参考文章(18)
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