Robust Fault Detection Based On Adaptive Set Observers

被引：0
|
作者：
Efimov, Denis [1 ]
Raissi, Tarek [1 ]
Zolghadri, Ali [1 ]
机构：
[1] Univ Bordeaux, IMS Lab, Automat Control Grp, 351 Cours Liberat, F-33405 Talence, France
来源：
2010 CONFERENCE ON CONTROL AND FAULT-TOLERANT SYSTEMS (SYSTOL'10) | 2010年
关键词：
CONTINUOUS-TIME SYSTEMS; DIFFERENTIAL-EQUATIONS; VARYING SYSTEMS; DIAGNOSIS; DESIGN; STATE;
D O I：
10.1109/SYSTOL.2010.5676074
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper deals with robust fault detection for nonlinear continuous-time systems based on a LPV transformation. The adaptive set observers technique is applied for joint state and parameter estimation in order to avoid the exponential complexity obstruction usually met in the set-membership nonlinear estimation. The obtained estimates on the sets of admissible values for the parameters and the state are used for interval residuals generation. The efficiency of the proposed approach is demonstrated on a numerical example.
引用
收藏
页码：714 / 719
页数：6
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