Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network

Mou Chen Chang-Sheng Jiang Qing-Xian Wu

Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2008, 5(4): 401-405. doi: 10.1007/s11633-008-0401-8
引用本文: Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2008, 5(4): 401-405. doi: 10.1007/s11633-008-0401-8
Mou Chen, Chang-Sheng Jiang and Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network. International Journal of Automation and Computing, vol. 5, no. 4, pp. 401-405, 2008 doi:  10.1007/s11633-008-0401-8
Citation: Mou Chen, Chang-Sheng Jiang and Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network. International Journal of Automation and Computing, vol. 5, no. 4, pp. 401-405, 2008 doi:  10.1007/s11633-008-0401-8

Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network

doi: 10.1007/s11633-008-0401-8
基金项目: 

Natural Science Foundation of Jiangsu Province (No.SBK20082815);Aeronautical Science Foundation of China (No.20075152014)

Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network

Funds: 

Natural Science Foundation of Jiangsu Province (No.SBK20082815);Aeronautical Science Foundation of China (No.20075152014)

计量
  • 文章访问数:  4048
  • HTML全文浏览量:  27
  • PDF下载量:  2444
  • 被引次数: 0
出版历程
  • 收稿日期:  2007-10-09
  • 修回日期:  2008-01-04
  • 刊出日期:  2008-10-15

Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network

doi: 10.1007/s11633-008-0401-8
    基金项目:

    Natural Science Foundation of Jiangsu Province (No.SBK20082815);Aeronautical Science Foundation of China (No.20075152014)

摘要: In this paper,a sliding mode observer scheme of sensor fault diagnosis is proposed for a class of time delay nonlinear systems with input uncertainty based on neural network.The sensor fault and the system input uncertainty are assumed to be unknown but bounded.The radial basis function (RBF) neural network is used to approximate the sensor fault.Based on the output of the RBF neural network,the sliding mode observer is presented.Using the Lyapunov method,a criterion for stability is given in terms of matrix inequality.Finally,an example is given for illustrating the availability of the fault diagnosis based on the proposed sliding mode observer.

English Abstract

Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2008, 5(4): 401-405. doi: 10.1007/s11633-008-0401-8
引用本文: Mou Chen, Chang-Sheng Jiang, Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network[J]. 国际自动化与计算杂志(英)/International Journal of Automation and Computing, 2008, 5(4): 401-405. doi: 10.1007/s11633-008-0401-8
Mou Chen, Chang-Sheng Jiang and Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network. International Journal of Automation and Computing, vol. 5, no. 4, pp. 401-405, 2008 doi:  10.1007/s11633-008-0401-8
Citation: Mou Chen, Chang-Sheng Jiang and Qing-Xian Wu. Sensor Fault Diagnosis for a Class of Time Delay Uncertain Nonlinear Systems Using Neural Network. International Journal of Automation and Computing, vol. 5, no. 4, pp. 401-405, 2008 doi:  10.1007/s11633-008-0401-8
参考文献 (20)

目录

    /

    返回文章
    返回