信号类的IQC特性

U. Jönsson, A. Megretski
{"title":"信号类的IQC特性","authors":"U. Jönsson, A. Megretski","doi":"10.23919/ECC.1999.7099521","DOIUrl":null,"url":null,"abstract":"Worst case average performance analysis is considered in this paper. The disturbance in the system is assumed to belong to a “class of inputs signals”. A class of signals is here defined to be a set of families of signals, where each family satisfies an average spectral constraint. Exact characterizations in terms of integral quadratic constraints (IQC) are given for a class of white signals and a class of signals that are generated by autonomous linear systems. The IQCs are defined in terms of multipliers and important issues in numerical optimization of the multipliers are discussed in the paper.","PeriodicalId":117668,"journal":{"name":"1999 European Control Conference (ECC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"IQC characterizations of signal classes\",\"authors\":\"U. Jönsson, A. Megretski\",\"doi\":\"10.23919/ECC.1999.7099521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Worst case average performance analysis is considered in this paper. The disturbance in the system is assumed to belong to a “class of inputs signals”. A class of signals is here defined to be a set of families of signals, where each family satisfies an average spectral constraint. Exact characterizations in terms of integral quadratic constraints (IQC) are given for a class of white signals and a class of signals that are generated by autonomous linear systems. The IQCs are defined in terms of multipliers and important issues in numerical optimization of the multipliers are discussed in the paper.\",\"PeriodicalId\":117668,\"journal\":{\"name\":\"1999 European Control Conference (ECC)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 European Control Conference (ECC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ECC.1999.7099521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 European Control Conference (ECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ECC.1999.7099521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

本文考虑了最坏情况下的平均性能分析。系统中的扰动被假定为属于“一类输入信号”。这里将一类信号定义为信号族的集合,其中每个族满足一个平均谱约束。对一类白信号和一类由自主线性系统产生的信号,给出了用积分二次约束(IQC)表示的精确刻画。本文从乘数的角度定义了IQCs,并讨论了乘数数值优化中的一些重要问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IQC characterizations of signal classes
Worst case average performance analysis is considered in this paper. The disturbance in the system is assumed to belong to a “class of inputs signals”. A class of signals is here defined to be a set of families of signals, where each family satisfies an average spectral constraint. Exact characterizations in terms of integral quadratic constraints (IQC) are given for a class of white signals and a class of signals that are generated by autonomous linear systems. The IQCs are defined in terms of multipliers and important issues in numerical optimization of the multipliers are discussed in the paper.
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