{"title":"一类时滞模糊惯性神经网络的同步控制","authors":"Jing Han, Guici Chen, Guodong Zhang, Junhao Hu","doi":"10.1109/ICCSS53909.2021.9721984","DOIUrl":null,"url":null,"abstract":"In this paper, a class of delayed inertial neural networks(INNs) with fuzzy templates is considered. By using a novel Lyapunov functional and an effective control law, several synchronization results of the investigated delayed fuzzy inertial neural networks(FINNs) are given. We construct the exponential synchronization results of the delayed FINNs via the nonreduced-order method for the first time. At last, numerical simulations show the correctness of the obtained results.","PeriodicalId":435816,"journal":{"name":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synchronization control for a class of delayed fuzzy inertial neural networks\",\"authors\":\"Jing Han, Guici Chen, Guodong Zhang, Junhao Hu\",\"doi\":\"10.1109/ICCSS53909.2021.9721984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a class of delayed inertial neural networks(INNs) with fuzzy templates is considered. By using a novel Lyapunov functional and an effective control law, several synchronization results of the investigated delayed fuzzy inertial neural networks(FINNs) are given. We construct the exponential synchronization results of the delayed FINNs via the nonreduced-order method for the first time. At last, numerical simulations show the correctness of the obtained results.\",\"PeriodicalId\":435816,\"journal\":{\"name\":\"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSS53909.2021.9721984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSS53909.2021.9721984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synchronization control for a class of delayed fuzzy inertial neural networks
In this paper, a class of delayed inertial neural networks(INNs) with fuzzy templates is considered. By using a novel Lyapunov functional and an effective control law, several synchronization results of the investigated delayed fuzzy inertial neural networks(FINNs) are given. We construct the exponential synchronization results of the delayed FINNs via the nonreduced-order method for the first time. At last, numerical simulations show the correctness of the obtained results.
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