Event-Based Synchronization Control for Memristive Neural Networks With Time-Varying Delay.

abstract

• In this paper, we investigate the global synchronization control problem for memristive neural networks (MNNs) with time-varying delay. A novel event-triggered controller is introduced with the linear diffusive term and discontinuous sign term. In order to greatly reduce the computation cost of the controller under certain event-triggering condition, two event-based control schemes are proposed with static event-triggering condition and dynamic event-triggering condition. Some sufficient conditions are derived by these control schemes to ensure the response MNN to be synchronized with the driving one. Furthermore, under certain event-triggering conditions, a positive lower bound is achieved for the interexecution time to guarantee that Zeno behavior cannot be executed. Finally, numerical simulations are provided to substantiate the effectiveness of the proposed theoretical results.

authors

• Huang, Tingwen

published proceedings

• IEEE Trans Cybern

author list (cited authors)

• Guo, Z., Gong, S., Wen, S., & Huang, T.

citation count

• 83

complete list of authors

• Guo, Zhenyuan||Gong, Shuqing||Wen, Shiping||Huang, Tingwen

publication date

• September 2019

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Transactions on Cybernetics  Journal

keywords

• Event-triggered Control
• Memristive Neural Network (mnn)
• Synchronization
• Time-varying Delay
• Zeno Behavior

Digital Object Identifier (DOI)

• 10.1109/TCYB.2018.2839686

start page

• 3268

end page

• 3277

volume

• 49

issue

• 9

URL

• http://dx.doi.org/10.1109/tcyb.2018.2839686