Volume 4 Number 2
April 2007
Article Contents
Sing Kiong Nguang, Ping Zhang and Steven X. Ding. Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach. International Journal of Automation and Computing, vol. 4, no. 2, pp. 164-168, 2007. doi: 10.1007/s11633-007-0164-7
Cite as: Sing Kiong Nguang, Ping Zhang and Steven X. Ding. Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach. International Journal of Automation and Computing, vol. 4, no. 2, pp. 164-168, 2007. doi: 10.1007/s11633-007-0164-7

Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach

  • Received: 2006-01-10
Fund Project:

This work was supported by the Alexander von Humboldt Foundation.

通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach

Fund Project:

This work was supported by the Alexander von Humboldt Foundation.

Abstract: This paper proposes a parity relation based fault estimation for a class of nonlinear systems which can be modelled by Takagi-Sugeno (TS) fuzzy models. The design of a parity relation based residual generator is formulated in terms of a family of linear matrix inequalities (LMIs). A numerical example is provided to illustrate the effectiveness of the proposed design techniques.

Sing Kiong Nguang, Ping Zhang and Steven X. Ding. Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach. International Journal of Automation and Computing, vol. 4, no. 2, pp. 164-168, 2007. doi: 10.1007/s11633-007-0164-7
Citation: Sing Kiong Nguang, Ping Zhang and Steven X. Ding. Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach. International Journal of Automation and Computing, vol. 4, no. 2, pp. 164-168, 2007. doi: 10.1007/s11633-007-0164-7
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