.png){kind=icon}
返回
A set-membership state estimation algorithm based on DC programming
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2007.05.008.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper presents a new approach to guaranteed state estimation for nonlinear discrete-time systems with a bounded description of noise and parameters. The sets of states that are consistent with the evolution of the system, the measured outputs and bounded noise and parameters are represented by zonotopes DC programming and intersection operations are used to obtain a tight bound. An example is given to illustrate the proposed algorithm. (C) 2007 Published by Elsevier Ltd.
Keyword:
nonlinear observers
set-membership state estimation
DC programming
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
分享收藏Reaction of some 4-chloro-5-nitropyrimidines with sodium azide. Oxadiazolo[3,4-d]pyrimidine 1-oxides
PREAI
分享收藏Nonlinear bounded-error state estimation of continuous-time systems连续时间系统的非线性有界误差状态估计.png)
AUTOMATICAOAAI
AUTOMATICAIF5.9
OAAI分享收藏Arsenic association with circulating oxidized low-density lipoprotein in a Native American communityOAAI
OAAI分享收藏Robust state estimation and model validation for discrete-time uncertain systems with a deterministic description of noise and uncertaintyAUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容