Minimum Error Entropy Filter for Fault Detection of Networked Control Systems

被引：8

作者：

Zhang, Jianhua ^{[1
]}

Du, Lilong ^{[1
]}

Ren, Mifeng ^{[1
]}

Hou, Guolian ^{[1
]}

机构：

[1] N China Elect Power Univ, State Key Lab Alternate Elect Power Syst Renewabl, Beijing 102206, Peoples R China

来源：

ENTROPY | 2012年 / 14卷 / 03期

基金：

美国国家科学基金会;

关键词：

networked control systems; fault detection; minimum error entropy; STOCHASTIC-SYSTEMS; OBSERVER;

D O I：

10.3390/e14030505

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this paper, fault detection of networked control systems with random delays, packet dropout and noises is studied. The filter is designed using a minimum error entropy criterion. The residual generated by the filter is then evaluated to detect faults in networked control systems. An illustrative networked control system is used to verify the effectiveness of the proposed approach.

引用

页码：505 / 516

页数：12

共 24 条

[1] [Anonymous], P 12 IEEE WORKSH NEU
[2] [Anonymous], UNSUPERVISED ADAPTIV
[3] [Anonymous], BOUNDED DYNAMIC STOC
[4] Control and communication challenges in networked real-time systems
Baillieul, John
Antsaklis, Panos J.
[J]. PROCEEDINGS OF THE IEEE, 2007, 95 (01) : 9 - 28
[5] Blanke M., 2006, Diagnosis and fault-tolerant control, DOI [10.1007/978-3-540-35653-0, DOI 10.1007/978-3-540-35653-0]
[6] Δ-Entropy: Definition, properties and applications in system identification with quantized data
Chen, Badong
Zhu, Yu
Hu, Jinchun
Principe, Jose C.
[J]. INFORMATION SCIENCES, 2011, 181 (07) : 1384 - 1402
[7] Chen J, 2012, ROBUST MODEL BASED F
[8] An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems
Erdogmus, D
Principe, JC
[J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (07) : 1780 - 1786
[9] Fault diagnosis of networked control systems
Fang, Huajing
Ye, Hao
Zhong, Maiying
[J]. ANNUAL REVIEWS IN CONTROL, 2007, 31 (01) : 55 - 68
[10] Gertler J., 1998, Fault Detection and Diagnosis in Engineering Systems

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