Robust Stabilization of Memristor-based Coupled Neural Networks with Time-varying Delays
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s12555-018-0936-6.pdf
Reference28 articles.
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2. D. B. Strukov, G. S. Snider, D. R. Stewart, and R. S. Williams, “The missing memristor found,” Nature, vol. 453, no. 7191, pp. 80–83, June 2008.
3. H. B. Bao, J. H. Park, and J. D. Cao, “Adaptive synchronization of fractional-order memristor-based neural networks with time delay,” Nonlinear Dynamics, vol. 82, no. 3, pp. 1343–1354, Novermber 2015.
4. R. M. Zhang, D. Q. Zeng, S. M. Zhong, and Y. B. Yu, “Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays,” Applied Mathematics and Computation, vol. 310, pp. 57–74, October 2017.
5. C. J. Xu and P. L. Li, “Periodic dynamics for memristorbased bidirectional associative memory neural networks with leakage delays and time-varying delays,” International Journal of Control Automation and Systems, vol. 16, no. 2, pp. 535–549, April 2018.
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