{"title":"An EHGO-based Robust Control for Multi-agent Consensus With Unmeasured Velocity and Disturbances","authors":"Weihao Li, Mengji Shi, Jiangfeng Yue, Boxian Lin, Kaiyu Qin, Xinyu Zhang","doi":"10.1109/CRC55853.2022.10041234","DOIUrl":null,"url":null,"abstract":"This paper addresses the robust consensus control problem for the second-order multi-agent system in the presence of unknown lumped disturbances and without velocity measure-ments. A novel robust consensus controller is constructed by combining the improved extended high-gain observer (EHGO) and continuous sliding mode control (SMC) strategy. Specifically, for the unknown velocity and lumped disturbances, the EHGO component can estimate them simultaneously by adjusting a simple dynamic parameter. Then, in light of the singular per-turbation technique, the convergence of the closed-loop error system is demonstrated and robust consensus control is achieved. Finally, a numerical simulation experiment is given to verify the effectiveness of robust consensus control strategy,","PeriodicalId":275933,"journal":{"name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRC55853.2022.10041234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper addresses the robust consensus control problem for the second-order multi-agent system in the presence of unknown lumped disturbances and without velocity measure-ments. A novel robust consensus controller is constructed by combining the improved extended high-gain observer (EHGO) and continuous sliding mode control (SMC) strategy. Specifically, for the unknown velocity and lumped disturbances, the EHGO component can estimate them simultaneously by adjusting a simple dynamic parameter. Then, in light of the singular per-turbation technique, the convergence of the closed-loop error system is demonstrated and robust consensus control is achieved. Finally, a numerical simulation experiment is given to verify the effectiveness of robust consensus control strategy,