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Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach 被引量:6

Parity Relation Based Fault Estimation for Nonlinear Systems: An LMI Approach
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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. 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.
出处 《International Journal of Automation and computing》 EI 2007年第2期164-168,共5页 国际自动化与计算杂志(英文版)
基金 This work was supported by the Alexander von Humboldt Foundation.
关键词 Fuzzy systems nonlinear systems fault identification fault detection fault diagnosis. Fuzzy systems, nonlinear systems, fault identification, fault detection, fault diagnosis.
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