{"title":"基于周期性间歇控制的惯性神经网络有限时间同步","authors":"Yaqian Hu, Leimin Wang, Xingxing Tan, Kan Zeng","doi":"10.1109/icaci55529.2022.9837654","DOIUrl":null,"url":null,"abstract":"In this paper, the finite-time synchronization (FTS) for inertial neural networks (INNs) is investigated based on periodically intermittent control. By utilizing the reduced order approach, INN system is transformed into two first-order systems. Then, proper periodically intermittent controllers are designed to obtain sufficient condition for FTS of INNs. An example is proposed to support the validity of the synchronization criterion.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"168 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite-time Synchronization of Inertial Neural Networks via Periodically Intermittent Control\",\"authors\":\"Yaqian Hu, Leimin Wang, Xingxing Tan, Kan Zeng\",\"doi\":\"10.1109/icaci55529.2022.9837654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the finite-time synchronization (FTS) for inertial neural networks (INNs) is investigated based on periodically intermittent control. By utilizing the reduced order approach, INN system is transformed into two first-order systems. Then, proper periodically intermittent controllers are designed to obtain sufficient condition for FTS of INNs. An example is proposed to support the validity of the synchronization criterion.\",\"PeriodicalId\":412347,\"journal\":{\"name\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"168 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaci55529.2022.9837654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaci55529.2022.9837654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite-time Synchronization of Inertial Neural Networks via Periodically Intermittent Control
In this paper, the finite-time synchronization (FTS) for inertial neural networks (INNs) is investigated based on periodically intermittent control. By utilizing the reduced order approach, INN system is transformed into two first-order systems. Then, proper periodically intermittent controllers are designed to obtain sufficient condition for FTS of INNs. An example is proposed to support the validity of the synchronization criterion.
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