{"title":"Leader-Follower多智能体系统:一种针对隐蔽攻击的模型预测控制方案","authors":"Francesco Saverio Tedesco, D. Famularo, G. Franzé","doi":"10.1109/ICAS49788.2021.9551194","DOIUrl":null,"url":null,"abstract":"In this paper, a resilient distributed control scheme against covert attacks for constrained multi-agent networked systems is developed. The idea consists in an adequate deployment of predictive arguments with a twofold aim: detection of malicious agent behaviors and control actions implementation to mitigate as much as possible undesirable knock-on effects.","PeriodicalId":287105,"journal":{"name":"2021 IEEE International Conference on Autonomous Systems (ICAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Leader-Follower Multi-Agent Systems: A Model Predictive Control Scheme Against Covert Attacks\",\"authors\":\"Francesco Saverio Tedesco, D. Famularo, G. Franzé\",\"doi\":\"10.1109/ICAS49788.2021.9551194\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a resilient distributed control scheme against covert attacks for constrained multi-agent networked systems is developed. The idea consists in an adequate deployment of predictive arguments with a twofold aim: detection of malicious agent behaviors and control actions implementation to mitigate as much as possible undesirable knock-on effects.\",\"PeriodicalId\":287105,\"journal\":{\"name\":\"2021 IEEE International Conference on Autonomous Systems (ICAS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Autonomous Systems (ICAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAS49788.2021.9551194\",\"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 International Conference on Autonomous Systems (ICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAS49788.2021.9551194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Leader-Follower Multi-Agent Systems: A Model Predictive Control Scheme Against Covert Attacks
In this paper, a resilient distributed control scheme against covert attacks for constrained multi-agent networked systems is developed. The idea consists in an adequate deployment of predictive arguments with a twofold aim: detection of malicious agent behaviors and control actions implementation to mitigate as much as possible undesirable knock-on effects.