Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4628270 | Applied Mathematics and Computation | 2014 | 11 Pages |
Abstract
Synchronization of bursting neuron system with stochastic noise is investigated. When parameters are known, based on Lyapunov stability theory, via appropriate controllers, synchronization of delay Hindmarsh–Rose system with stochastic noise is obtained. When parameters are unknown, by adaptive control technique, corresponding parameter update laws are proposed to achieve synchronization of Hindmarsh–Rose system with stochastic noise. Finally, numerical simulations are given to demonstrate the effectiveness of the proposed schemes.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xuerong Shi, Lixin Han, Zuolei Wang, Keming Tang,