| Parity Relation Based Fault Estimation for Nonlinear Systems： An LMI Approach |
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| 引用本文： | Sing Kiong Nguang Ping Zhang Steven X. Ding. Parity Relation Based Fault Estimation for Nonlinear Systems： An LMI Approach[J]. 国际自动化与计算杂志, 2007, 4(2): 164-168. DOI: 10.1007/s11633-007-0164-7 |
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| 作者姓名： | Sing Kiong Nguang Ping Zhang Steven X. Ding |
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| 作者单位： | [1]The Department of Electrical and Computer Engineering, the University of Auckland, Auckland, New Zealand [2]AKS, Faculty of Engineering, University of Duisburg-Essen, Duisburg, Germany |
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| 基金项目： | This work was supported by the Alexander von Humboldt Foundation. |
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| 摘 要： | 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.
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| 关 键 词： | 非线性系统 LMI法 宇称关系 故障检测 故障辨识 故障诊断 |
| 收稿时间： | 2006-01-10 |
| 修稿时间： | 2006-11-18 |
Parity relation based fault estimation for nonlinear systems: An LMI approach |
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| Sing Kiong Nguang,Ping Zhang,Steven X. Ding. Parity relation based fault estimation for nonlinear systems: An LMI approach[J]. International Journal of Automation and computing, 2007, 4(2): 164-168. DOI: 10.1007/s11633-007-0164-7 |
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| Authors: | Sing Kiong Nguang Ping Zhang Steven X. Ding |
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| Affiliation: | (1) The Department of Electrical and Computer Engineering, the University of Auckland, Auckland, New Zealand;(2) AKS, Faculty of Engineering, University of Duisburg-Essen, Duisburg, Germany |
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| 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. |
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| Keywords: | Fuzzy systems nonlinear systems fault identification fault detection fault diagnosis |
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