.png){kind=icon}
返回
A new approximate algorithm for the Chebyshev center
.png){kind=icon}
PRE
AI
DOI：10.1016/j.automatica.2013.04.029.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The parameter or state estimation with bounded noises is getting increasingly important in many applications of practical systems with some uncertainties. The problem to estimate a deterministic parameter or state which is known to lie in an intersection of some ellipsoids can be formulated to find the Chebyshev center of the intersection set in the case of l(2) norm of the estimation error. In this paper, an appropriate positive semidefinite relaxation of non-convex optimization problem is derived, and then a new algorithm for robust minimax estimation is provided. Some examples are given to compare the approximate estimate with the existing relaxed Chebyshev center. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Bounded noise
Chebyshev center
Ellipsoidal estimation
Positive semidefinite relaxation
Estimation fusion
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
机构
引用论文
Reaction of some 4-chloro-5-nitropyrimidines with sodium azide. Oxadiazolo[3,4-d]pyrimidine 1-oxides
PREAI
分享收藏
Ellipsoidal parameter or state estimation under model uncertainty模型不确定性下的椭球参数或状态估计.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容