Fault estimation for time-varying control systems with aperiodic sample

Li Ning, Feng Jian
{"title":"Fault estimation for time-varying control systems with aperiodic sample","authors":"Li Ning, Feng Jian","doi":"10.1109/CCDC.2014.6852667","DOIUrl":null,"url":null,"abstract":"For a class of linear time-varying system with non-uniform sample, we discrete the system by combination of both norm invariant and step invariant transformation, taking the problem of non-uniform sample transformed into discrete time varying system problem. Based on designed the fault estimator, we construct Lyapunov function, to get the essential condition of the error equation asymptotic stability and the fault estimation adaptive weighting parameter L0, Γ and θ. At last, a numerical example is given to illustrate the effectiveness of the proposed fault estimator by Matlab LMI Toolbox..","PeriodicalId":380818,"journal":{"name":"The 26th Chinese Control and Decision Conference (2014 CCDC)","volume":"04 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 26th Chinese Control and Decision Conference (2014 CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2014.6852667","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

For a class of linear time-varying system with non-uniform sample, we discrete the system by combination of both norm invariant and step invariant transformation, taking the problem of non-uniform sample transformed into discrete time varying system problem. Based on designed the fault estimator, we construct Lyapunov function, to get the essential condition of the error equation asymptotic stability and the fault estimation adaptive weighting parameter L0, Γ and θ. At last, a numerical example is given to illustrate the effectiveness of the proposed fault estimator by Matlab LMI Toolbox..
非周期样本时变控制系统的故障估计
对于一类具有非均匀样本的线性时变系统,采用范数不变变换和阶跃不变变换相结合的方法对系统进行离散,将非均匀样本问题转化为离散时变系统问题。在设计故障估计量的基础上,构造Lyapunov函数,得到误差方程渐近稳定的必要条件和故障估计自适应加权参数L0、Γ和θ。最后,通过Matlab LMI工具箱给出了一个算例,验证了所提故障估计器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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