Synchronization for Riemann-Liouville Incommensurate Fractional-Order Competitive Neural Networks With Different Time Scales
6 Pages Posted: 9 Nov 2018
Date Written: July 2018
Abstract
Synchronization for Riemann-Liouville fractionalorder competitive neural networks with different time scales is concerned in this paper. An incommensurate fractional-order chaotic competitive neural network with different time scales is given. Based on the theory of Riemann-Liouville fractional calculus, a simple and effective controller is proposed. Finally, a numerical examples is presented to illustrate the effectiveness of the approach.
Suggested Citation: Suggested Citation
Gu, Yajuan and Wang, Hu and Yu, Yongguang, Synchronization for Riemann-Liouville Incommensurate Fractional-Order Competitive Neural Networks With Different Time Scales (July 2018). Proceedings of International Conference on Fractional Differentiation and its Applications (ICFDA) 2018, Available at SSRN: https://ssrn.com/abstract=3281669 or http://dx.doi.org/10.2139/ssrn.3281669
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