Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6862954 | Neural Networks | 2018 | 13 Pages |
Abstract
In this article, generalized pinning synchronization problem is investigated for a class of Cohen-Grossberg neural networks with discontinuous neuron activations and mixed delays. By designing generalized pinning state-feedback and adaptive controllers, several criteria for global exponential synchronization and global asymptotical synchronization of the drive-response based system are obtained in view of non-smooth analysis theory with generalized Lyapunov functional method, in which first pinning the neurons with very small self-inhibition and small amplification functions is pointed out. Some numerical examples are given to illustrate the feasibility of the obtained results.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Dongshu Wang, Lihong Huang, Longkun Tang, Jinsen Zhuang,