Abstract
In this paper, we consider the simplified memristor-based neural networks with time-varying delay, under the framework of Filippov’s solution and differential inclusion theory, by structuring novel Lyapunov functional and employing feedback control technique, adopting feedback controller, anti-synchronization criteria for memristor-based neural networks with time-varying delay are derived, which depend on the jumps parameter \(T_i\), hence the proposed criteria are more general than existing reference. Finally, an example is provided to show the effectiveness of theoretical result.
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Li, N., Cao, J., Zhou, M. (2014). Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_4
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DOI: https://doi.org/10.1007/978-3-319-12436-0_4
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