{"title":"时变时滞分数阶神经网络的同步控制","authors":"Ting Yin, Boshan Chen, J. Zhong","doi":"10.1109/ICACI.2017.7974489","DOIUrl":null,"url":null,"abstract":"The paper concerns with the global O(t−α) synchronization for a type of FDNNs (fractional-order neural networks) with time-varying delays. Two types of output feedback controller are designed to synchronize a class of FDNNs. And we give some sufficient conditions in the form of algebraic inequalities. Finally, to demonstrate the reliability of the derived results, we give two illustrative numerical examples.","PeriodicalId":260701,"journal":{"name":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Synchronization control of fractional-order neural networks with time-varying delays\",\"authors\":\"Ting Yin, Boshan Chen, J. Zhong\",\"doi\":\"10.1109/ICACI.2017.7974489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper concerns with the global O(t−α) synchronization for a type of FDNNs (fractional-order neural networks) with time-varying delays. Two types of output feedback controller are designed to synchronize a class of FDNNs. And we give some sufficient conditions in the form of algebraic inequalities. Finally, to demonstrate the reliability of the derived results, we give two illustrative numerical examples.\",\"PeriodicalId\":260701,\"journal\":{\"name\":\"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICACI.2017.7974489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2017.7974489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Synchronization control of fractional-order neural networks with time-varying delays
The paper concerns with the global O(t−α) synchronization for a type of FDNNs (fractional-order neural networks) with time-varying delays. Two types of output feedback controller are designed to synchronize a class of FDNNs. And we give some sufficient conditions in the form of algebraic inequalities. Finally, to demonstrate the reliability of the derived results, we give two illustrative numerical examples.
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