Generalized pinning synchronization of delayed Cohen-Grossberg neural networks with discontinuous activations.
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.
['Wang|Dongshu|D|', 'Huang|Lihong|L|', 'Tang|Longkun|L|', 'Zhuang|Jinsen|J|']
D005246:Feedback D016571:Neural Networks, Computer D013997:Time Factors
Discontinuous neuron activation Global exponential synchronization Global asymptotical synchronization Cohen–Grossberg neural networks Generalized pinning adaptive control Generalized pinning state-feedback control