Reaching Distributed Interval State Estimation on Discrete-Time LTI Systems

被引:0
|
作者
Wang X. [1 ]
Chang T. [1 ]
Yang W. [2 ]
Su H. [3 ]
机构
[1] College of Automation and AI, Nanjing University of Posts and Telecommunications, Nanjing
[2] Ministry of Education, Key Laboratory of Advanced Control and Optimization for Chemical Processes, East China University of Science and Technology, Shanghai
[3] School of Artificial Intelligence and Automation, and the Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Huazhong University of Science and Technology, Wuhan
基金
中国国家自然科学基金;
关键词
Current measurement; discrete-time system; Distributed interval observer; external disturbance; internal positive representation; measurement noise; Noise; Noise measurement; Observers; Transmission line matrix methods; Transmission line measurements; Uncertainty;
D O I
10.1109/TCSI.2024.3386335
中图分类号
学科分类号
摘要
The distributed state estimation problem of a discrete-time linear time-invariant system is considered in the presence of external disturbances and measurement noise. In this scenario, where only the bounding information of the external disturbance and measurement noise is known, an initial design of a distributed interval observer is implemented to provide a set of intervals within which the state of the system locates, subject to certain requirements on relevant matrices. Subsequently, the Internal Positive Representation technique is introduced to eliminate the aforementioned requirements, so that a distributed observer can be accomplished, with the only prerequisite being collectively detectable of the output measurements of the sensor network. Finally, two examples are proposed to illustrate the effectiveness of the theoretical results. IEEE
引用
收藏
页码:1 / 14
页数:13
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