{"title":"提高多模型网络自适应系统的性能","authors":"K. George, M. Krishnapur, R. Makam","doi":"10.1109/CCSII.2012.6470481","DOIUrl":null,"url":null,"abstract":"The principal objectives in this paper are to achieve output tracking when the given unknown plant and the compensator are connected through a communication network, and to simultaneously address the effects of both network-induced delays and packet dropouts. Their effects are mitigated by using the available information intelligently. Further, we use the multiple models, switching, and tuning methodology to improve the transient performance.","PeriodicalId":389895,"journal":{"name":"2012 IEEE Conference on Control, Systems & Industrial Informatics","volume":"302 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improving performance in networked adaptive systems with multiple models\",\"authors\":\"K. George, M. Krishnapur, R. Makam\",\"doi\":\"10.1109/CCSII.2012.6470481\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The principal objectives in this paper are to achieve output tracking when the given unknown plant and the compensator are connected through a communication network, and to simultaneously address the effects of both network-induced delays and packet dropouts. Their effects are mitigated by using the available information intelligently. Further, we use the multiple models, switching, and tuning methodology to improve the transient performance.\",\"PeriodicalId\":389895,\"journal\":{\"name\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"volume\":\"302 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Conference on Control, Systems & Industrial Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCSII.2012.6470481\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Conference on Control, Systems & Industrial Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCSII.2012.6470481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improving performance in networked adaptive systems with multiple models
The principal objectives in this paper are to achieve output tracking when the given unknown plant and the compensator are connected through a communication network, and to simultaneously address the effects of both network-induced delays and packet dropouts. Their effects are mitigated by using the available information intelligently. Further, we use the multiple models, switching, and tuning methodology to improve the transient performance.