New Stability Criteria of Discrete Systems With Time-Varying Delays

Daixi Liao; Shouming Zhong; Jun Cheng; Jinnan Luo; Xiaojun Zhang; Qishui Zhong

doi:10.1109/ACCESS.2018.2882686

IEEE Access (Jan 2019)

New Stability Criteria of Discrete Systems With Time-Varying Delays

Daixi Liao,
Shouming Zhong,
Jun Cheng,
Jinnan Luo,
Xiaojun Zhang,
Qishui Zhong

Affiliations

Daixi Liao: ORCiD; School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
Shouming Zhong: School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
Jun Cheng: School of Automation and Electrical Engineering, Qingdao University of Science and Technology, Qingdao, China
Jinnan Luo: School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China
Xiaojun Zhang: School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China
Qishui Zhong: School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, China

DOI: https://doi.org/10.1109/ACCESS.2018.2882686
Journal volume & issue: Vol. 7
pp. 1677 – 1684

Abstract

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This paper is concerned with the stability criteria of discrete neural networks with two additive input time-varying delays. By using the time delay division and a new summation inequality, a less conservative criterion is derived. Moreover, to compare the obtained criterion more directly with the existing results, a corollary is proposed accordingly. Finally, some numerical examples are presented to demonstrate that the obtained criteria are less conservative.

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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