Stochastic eigenvalues for LTI systems with stochastic modes

Y. Seo, J. Choi
{"title":"Stochastic eigenvalues for LTI systems with stochastic modes","authors":"Y. Seo, J. Choi","doi":"10.1109/SICE.2001.977822","DOIUrl":null,"url":null,"abstract":"The paper is concerned with a S-eigenvalue(stochastic-eigenvalue) concept in the linear time-invariant stochastic system where a stochastic mode in dynamics depends on stochastic uncertainties. The main contributions include the propositions of the new concept for S-eigenvalue, S-eigenvector (stochastic-eigenvector) and its probability density function in the complex plane. Numerical examples are presented to illustrate the proposed concepts.","PeriodicalId":415046,"journal":{"name":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE 2001. Proceedings of the 40th SICE Annual Conference. International Session Papers (IEEE Cat. No.01TH8603)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2001.977822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

The paper is concerned with a S-eigenvalue(stochastic-eigenvalue) concept in the linear time-invariant stochastic system where a stochastic mode in dynamics depends on stochastic uncertainties. The main contributions include the propositions of the new concept for S-eigenvalue, S-eigenvector (stochastic-eigenvector) and its probability density function in the complex plane. Numerical examples are presented to illustrate the proposed concepts.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
随机模态LTI系统的随机特征值
本文研究线性定常随机系统的s特征值(随机特征值)概念,其中动力学中的随机模式依赖于随机不确定性。主要贡献包括s特征值、s特征向量(随机特征向量)及其在复平面上的概率密度函数的新概念命题。给出了数值例子来说明所提出的概念。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An approximation to EMI noise problem to design an appropriate EMI filter for induction motor control systems Two kinds of sensor data fusion in target tracking Robust control of feedback linearizable system with the parameter uncertainty and input constraint Self-tuning fuzzy logic controller for direct torque control of slip energy recovery system The frequency-domain RLS algorithm with incremental hopping-index
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1