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Relaxed Stability Criteria for Delayed Generalized Neural Networks via a Novel Reciprocally Convex Combination

Yibo Wang Changchun Hua PooGyeon Park

自动化学报（英文版）2023，Vol.10Issue(7)：1631-1634,4.

自动化学报（英文版）2023，Vol.10Issue(7)：1631-1634,4.DOI:10.1109/JAS.2022.106025

Relaxed Stability Criteria for Delayed Generalized Neural Networks via a Novel Reciprocally Convex Combination

Yibo Wang ¹Changchun Hua ¹PooGyeon Park²

作者信息

1. School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China
2. Department of Electrical Engineering,Pohang University of Science and Technology,Pohang 37673,South Korea
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Yibo Wang,Changchun Hua,PooGyeon Park..Relaxed Stability Criteria for Delayed Generalized Neural Networks via a Novel Reciprocally Convex Combination[J].自动化学报（英文版）,2023,10(7):1631-1634,4.

基金项目

This work was supported by the Basic Sci-ence Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Science,Information and Communications Technology(ICT),and Future Planning(2020 R1A2C2005709),the National Natural Science Foundation of China(618255304),and the Key Project of Natural Science Foundation of Hebei Province(F2021203054). （NRF）

自动化学报（英文版）

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