{"title":"A Hardware Proof of Concept of Networked Adaptive Systems","authors":"Sriamoghvarsha B. Srinivasa, R. Makam, K. George","doi":"10.1109/ICCAR49639.2020.9108075","DOIUrl":null,"url":null,"abstract":"A hardware proof of concept of adaptation over the internet to achieve stability and output tracking despite the presence of both packet dropouts and delays induced by the network is provided in this paper. Assuming that the parameters of the models of the physical systems are unknown, a modified model reference adaptive control law for such networked adaptive systems ensures that the outputs of these systems asymptotically track specified desired trajectories. Further, we demonstrate that the multiple models, switching, and tuning methodology improves the transient performance. The example systems considered here are the Linear Servo Base Unit and the Qube Servo.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAR49639.2020.9108075","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A hardware proof of concept of adaptation over the internet to achieve stability and output tracking despite the presence of both packet dropouts and delays induced by the network is provided in this paper. Assuming that the parameters of the models of the physical systems are unknown, a modified model reference adaptive control law for such networked adaptive systems ensures that the outputs of these systems asymptotically track specified desired trajectories. Further, we demonstrate that the multiple models, switching, and tuning methodology improves the transient performance. The example systems considered here are the Linear Servo Base Unit and the Qube Servo.