.png){kind=icon}
返回
A multi-observer based estimation framework for nonlinear systems under sensor attacks
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2020.109043.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
For general discrete-time nonlinear systems, we address the state estimation problem under sensor attacks. We provide a general estimation scheme, built around the idea of sensor redundancy and multi-observers, capable of reconstructing the system state in spite of sensor attacks and noise, for a large class of nonlinear plants and observers. This scheme has been proposed by others for linear systems and here we propose a unifying framework for a much larger class of nonlinear systems. (C) 2020 Elsevier Ltd. All rights reserved.
Keyword:
Nonlinear observers
Multi-observer
Cyber-physical systems
Sensor attacks
Security
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
.png){kind=icon}
Scott F. Gilbert—Second to the Right, Straight on till Morning (Biological Theory 2: 74–75, 2007)
PREAI
分享收藏分享收藏分享收藏分享收藏
查看更多内容