Abstract
In this paper, the global exponential lag synchronization has been investigated for complex-valued neural networks with time delays. By using Lyapunov functionals and matrix inequality techniques, designing feedback control and adaptive feedback control, some new sufficient conditions for checking the global exponentially lag synchronization of the addressed complex-valued neural networks are established. Finally, numerical examples are given to demonstrate the effectiveness of theoretical results.
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