Synchronization of memristive delayed neural networks via hybrid impulsive control Academic Article

abstract

• 2017 Synchronization control problem is an important problem for the dynamical behaviors of neural networks. In this paper, by structuring hybrid impulsive and feedback controllers, synchronization problem of the memristive delayed neural networks is firstly promoted. Then, based on differential inclusions, several synchronization criteria for the memristive delayed neural networks are obtained by impulsive control theories, special inequalities and Lyapunov-type functional. In order to deduce synchronization conditions, the hybrid impulsive and feedback controllers are simultaneously used to control the memristive delayed neural networks, which promote and enrich the published results. Finally, the effectiveness of synchronization criteria is illustrated by two numerical examples.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Wang, H., Duan, S., Huang, T., & Tan, J.

citation count

• 16

complete list of authors

• Wang, Huamin||Duan, Shukai||Huang, Tingwen||Tan, Jie

publication date

• December 2017

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Hybrid Impulsive Control
• Memristive Delayed Neural Networks
• Synchronization

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2017.06.028

start page

• 615

end page

• 623

volume

• 267

URL

• http://dx.doi.org/10.1016/j.neucom.2017.06.028