Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification
作者： Jin Zhou , Tianping Chen , Lan Xiang
DOI: 10.1007/11427391_48
关键词:
摘要: By combining the adaptive control and linear feedback with updated laws, an approach of synchronization parameters identification recurrently delayed neural networks all unknown is proposed based on invariance principle functional differential equations. This supplies a systematic analytical procedure for such uncertain networks, it also simple to implement in practice. Theoretical proof numerical simulation demonstrate effectiveness feasibility technique.
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