Finite-Time Synchronization and Passivity of Multiple Delayed Coupled Neural Networks via Impulsive Control

Hong-An Tang; Chen-Xu Yue; Shukai Duan

doi:10.1109/ACCESS.2020.2973245

IEEE Access (Jan 2020)

Finite-Time Synchronization and Passivity of Multiple Delayed Coupled Neural Networks via Impulsive Control

Hong-An Tang,
Chen-Xu Yue,
Shukai Duan

Affiliations

Hong-An Tang: ORCiD; College of Electronic and Information Engineering, Southwest University, Chongqing, China
Chen-Xu Yue: ORCiD; College of Electronic and Information Engineering, Southwest University, Chongqing, China
Shukai Duan: ORCiD; College of Artificial Intelligence, Southwest University, Chongqing, China

DOI: https://doi.org/10.1109/ACCESS.2020.2973245
Journal volume & issue: Vol. 8
pp. 33532 – 33544

Abstract

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This paper focuses on the finite-time passivity (FTP) and finite-time synchronization (FTS) for multiple delayed coupled neural networks (MDCNNs) with and without uncertain parameters. A novel FTP criterion for MDCNNs with different dimensions of input and output is derived by designing an impulsive controller and using the Jensen's inequality. Then, by means of the Lyapunov functional and integral inequality techniques, a sufficient condition is established to ensure the FTS of MDCNNs via impulsive control. Furthermore, the robust FTP and FTS in MDCNNs are considered. Finally, a numerical example is given to demonstrate the validity of the presented results.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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