Adaptive Synchronization of Stochastic Memristor-Based Neural Networks with Mixed Delays
In this paper, adaptive synchronization of stochastic memristor-based neural networks with mixed delays is investigated. By using the differential inclusions theory, adaptive control technique and stochastic Lyapunov method, two adaptive updated laws are designed and two synchronization criteria are derived for stochastic memristor-based neural networks with mixed delays. The derived criteria complement and improve the previously known results since stochastic perturbations and mixed delays are considered. Finally, two numerical examples are provided to illustrate the effectiveness of the theoretical results.
KeywordsAdaptive synchronization Stochastic memristor-based neural networks Mixed delays Lyapunov functional
This work was supported by the National Natural Science Foundation of China under Grant 61503046 and 11547006. The authors thank the anonymous editor and reviewers for a number of constructive comments and suggestions that have improved the quality of the paper.
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