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Fault Detection for Uncertain Fuzzy Systems Based on the Delta Operator Approach

机译:基于Delta算子的不确定模糊系统故障检测

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This paper investigates the problem of designing a robust fault-detection for uncertain T-S fuzzy models based on the delta operator approach. By means of the T-S fuzzy delta operator systems, a fuzzy fault detection filter system is constructed via the delta operator approach. The worst case fault sensitivity has been formulated in terms of linear matrix inequalities. The proposed fault-detection filter not only ensures the H_-gain from a fault signal to a residual signal greater than a prescribed value, but also guarantees the H_∞-gain from an exogenous input to a residual signal less than a prescribed value in terms of the solvability of linear matrix inequalities. The linear matrix inequalities can be solved by an effective algorithm. A numerical example is provided to illustrate the effectiveness of the proposed design techniques.
机译:本文研究了基于增量算子方法为不确定的T-S模糊模型设计鲁棒故障检测的问题。借助于T-S模糊德尔塔算子系统,通过德尔塔算子方法构建了一个模糊故障检测滤波器系统。最坏情况下的故障敏感度是根据线性矩阵不等式制定的。所提出的故障检测滤波器不仅确保从故障信号到残留信号的H_增益大于规定值,而且还保证从外源输入到残留信号的H_∞增益小于规定值。线性矩阵不等式的可解性线性矩阵不等式可以通过有效的算法求解。提供了一个数值示例来说明所提出的设计技术的有效性。

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