Sensor Fault Estimation for a Class of Nonlinear Networked Systems

被引：0

作者：

Wang, Xiaofeng ^{[1
]}

He, Xiao ^{[1
]}

Wang, Zidong ^{[1
]}

Zhou, Donghua ^{[1
]}

机构：

[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China

来源：

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年

关键词：

nonlinear networked systems; sensor fault estimation; strong tracking filter; separate bias estimation algorithm; BIAS;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on the sensor fault estimation problem for a class of nonlinear networked systems. Based on the networked orthogonal principle, the networked strong tracking filter-separate bias estimation algorithm is derived, which can deal with fault estimation problem in a networked environment with multiple packet dropout rates. We can also get the estimation of system states and sensor fault simultaneously. Simulation on a practical Internet based three-tank system is provided and the estimation results show the effectiveness and applicability of the proposed techniques.

引用

页码：4967 / 4972

页数：6

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