.png){kind=icon}
返回
Dynamic observer error linearization
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2006.07.009.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a new framework of observer error linearization problem is proposed. The main idea of our approach is twofold. The one is to introduce an auxiliary dynamics whose input is the system output, and the other is to transform the augmented system into an observable linear system with an injection term which contains the system output as well as the state of the auxiliary dynamics. It is a natural extension of the recently developed dynamic observer error linearization where the injection term contains only newly defined output. It is also shown that whenever an it dimensional system is immersible into an n + d dimensional linear system up to an output injection, then it can be also dynamically observer error linearizable in our sense with a d dimensional auxiliary dynamics. Moreover, we show that the converse is not true by providing a counterexample, which implies that our approach is applicable to a strictly wider class of systems than that of the system immersion method. (c) 2006 Elsevier Ltd. All rights reserved.
Keyword:
nonlinear observer
observer error linearization
system immersion
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
暂无机构信息
引用论文
Time scaling for observer design with linearizable error dynamics具有可线性化误差动态的观测器设计的时间缩放.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
分享收藏
查看更多内容