提高多模型网络自适应系统的性能

K. George, M. Krishnapur, R. Makam
{"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}
引用次数: 3

摘要

本文的主要目标是在给定的未知对象和补偿器通过通信网络连接时实现输出跟踪,并同时解决网络引起的延迟和丢包的影响。通过明智地利用现有信息,可以减轻它们的影响。此外,我们使用多模型、切换和调优方法来提高瞬态性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信