Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8253742 | Chaos, Solitons & Fractals | 2018 | 19 Pages |
Abstract
This paper talks about the global asymptotical synchronization problem of delayed fractional-order memristor-based complex-valued neural networks with uncertain parameters. Under the framework of Filippov solution and differential inclusion theory, several sufficient criteria ensuring the global asymptotical synchronization for the addressed drive-response models are derived, by means of Lyapunov direct method and comparison theorem. In addition, two numerical examples are designed to verify the correctness and effectiveness of the theoretical results.
Keywords
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Statistical and Nonlinear Physics
Authors
Xujun Yang, Chuandong Li, Tingwen Huang, Qiankun Song, Junjian Huang,