Event-Triggered Synchronization Strategy for Multiple Neural Networks With Time Delay.

Journal: IEEE transactions on cybernetics
Published Date: Apr 29, 2019

Abstract

This paper deals with global exponential synchronization of multiple neural networks (NNs) with time delay via a very broad class of event-triggered coupling, in which coupling matrix can be non-Laplacian. Some simple and convenient sufficient conditions are derived to guarantee global exponential synchronization of the coupling NNs under an event-triggered strategy. In particular, the effect of the common subsystem can be positive or negative on the synchronization scheme. Three examples are presented to test the results in theory analysis.

Authors

  • Jiejie Chen
    School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China.
  • Boshan Chen
    College of Mathematics and Statistics, Hubei Normal University, Hubei Huangshi 435002, China. Electronic address: chenbs@hbnu.edu.cn.
  • Zhigang Zeng
  • Ping Jiang
    School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; School of Computer Science and Technology, Hubei PolyTechnic University, Huangshi 435003, China. Electronic address: jiangping20140209@gmail.com.

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