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Anti-synchronization for complex-valued neural networks with leakage delay and time-varying delays

Abstract This paper discusses the anti-synchronization control of complex-valued neural networks(CVNNs) with leakage delay and time-varying delays. Based on different types of activation functions meeting different assumption conditions, via some inequalities techniques and the Lyapunov approach, some sufficient conditions are acquired of the anti-synchronization of CVNNs by choosing the suitable controllers. Finally, two examples are presented to validate the effectiveness of the obtained criteria.

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Anti-synchronization for complex-valued neural networks with leakage delay and time-varying delays

Semantic Scholar · Computer Science · 2020

Abstract

Abstract This paper discusses the anti-synchronization control of complex-valued neural networks(CVNNs) with leakage delay and time-varying delays. Based on different types of activation functions meeting different assumption conditions, via some inequalities techniques and the Lyapunov approach, some sufficient conditions are acquired of the anti-synchronization of CVNNs by choosing the suitable controllers. Finally, two examples are presented to validate the effectiveness of the obtained criteria.

Source of record · Semantic Scholar

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