{"title":"基于自适应容错控制的不确定神经网络有限时间投影同步","authors":"Yue-Ping Zhang, Qiang Li","doi":"10.1109/ICCSSE52761.2021.9545093","DOIUrl":null,"url":null,"abstract":"In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Finite-Time Projective Synchronization of Neural Networks with Uncertainties via Adaptive Fault-Tolerant Control\",\"authors\":\"Yue-Ping Zhang, Qiang Li\",\"doi\":\"10.1109/ICCSSE52761.2021.9545093\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.\",\"PeriodicalId\":143697,\"journal\":{\"name\":\"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)\",\"volume\":\"77 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSSE52761.2021.9545093\",\"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 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSSE52761.2021.9545093","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Finite-Time Projective Synchronization of Neural Networks with Uncertainties via Adaptive Fault-Tolerant Control
In this study, problems of finite-time projective synchronization of neural networks with uncertainties are investigated using adaptive fault-tolerant control methods. When the system parameters are known or unknown, different adaptive controllers are designed. The fault-tolerant controller is designed to ensure that the drive response system can achieve synchronization in finite time. Finally, the validity of the method and the correctness of the theoretical results are verified by two kinds of numerical simulation.
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