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This paper focuses on the anti-synchronization problem of complex-valued bidirectional associative memory (BAM) neural networks with time-varying delays. Based on a suitable Lyapunov functional, a sufficient condition for guaranteeing the… Click to show full abstract
This paper focuses on the anti-synchronization problem of complex-valued bidirectional associative memory (BAM) neural networks with time-varying delays. Based on a suitable Lyapunov functional, a sufficient condition for guaranteeing the anti-synchronization of the considered system is derived by using the inequality techniques. For delayed complex-valued BAM neural networks, it is the first time that the anti-synchronization control problem is addressed. So, our work not only fills the gap in this field but also complements the previous results. In the end, two numerical examples are provided to show the effectiveness of the obtained result.
Journal Title: IEEE Access
Year Published: 2019
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