Global Exponential Stability and Synchronization of Memristive Neural Networks Including both Time-Varying and Continuously Distributed Delays Conference Paper

abstract

• 2017 IEEE. This article investigates the stability and synchronization problems for a kind of general memristive neural networks (MNNs) including both time-varying and continuously distributed delays. With the help of homeomorphism theory, delay differential-integral inequality and appropriate Lyapunov-Kravsovskii functional approach, several new sufficient criteria concerning global exponential stability and synchronization for MNNs are obtained under the sense of Filippov solution. The obtained criteria make some extensions and improvements of the existing results and are easier to be validated in the numerical simulation.

name of conference

• 2017 International Workshop on Complex Systems and Networks (IWCSN)

authors

• Huang, Tingwen

published proceedings

• 2017 International Workshop on Complex Systems and Networks (IWCSN)

author list (cited authors)

• Yang, W., Yu, W., Huang, T., & Cao, J.

citation count

• 1

complete list of authors

• Yang, Wengui||Yu, Wenwu||Huang, Tingwen||Cao, Jinde

publication date

• December 2017

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/iwcsn.2017.8276537

International Standard Book Number (ISBN) 13

• 9781538618905

start page

• 266

end page

• 273

volume

• 2018-January

URL

• http://dx.doi.org/10.1109/iwcsn.2017.8276537