Pengyu Hou, Xiaoshan Zhao, Yongfeng Guo, Tao Xu, Ya Lu, Xiang Li
{"title":"Tracking Control for the Geomagnetic Field Chaotic Model","authors":"Pengyu Hou, Xiaoshan Zhao, Yongfeng Guo, Tao Xu, Ya Lu, Xiang Li","doi":"10.1109/ICCAR49639.2020.9108062","DOIUrl":null,"url":null,"abstract":"Based on the dynamic system stability theory, the dynamic behavior of geomagnetic field chaotic model is studied. The process of chaos generation can be better revealed by the change of parameter H. On this basis, a suitable controller is designed in this paper, and the tracking control is applied to realize the tracking of geomagnetic field chaotic model to any reference signal, and the numerical simulation shows that the method can quickly and effectively control the geomagnetic field chaotic model.","PeriodicalId":412255,"journal":{"name":"2020 6th International Conference on Control, Automation and Robotics (ICCAR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","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/ICCAR49639.2020.9108062","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
Based on the dynamic system stability theory, the dynamic behavior of geomagnetic field chaotic model is studied. The process of chaos generation can be better revealed by the change of parameter H. On this basis, a suitable controller is designed in this paper, and the tracking control is applied to realize the tracking of geomagnetic field chaotic model to any reference signal, and the numerical simulation shows that the method can quickly and effectively control the geomagnetic field chaotic model.