Robust regression analysis and minimax residual error analysis are two aspects in data processing of dynamic measurement.
在动态测试数据处理中，常常要进行稳健回归分析和最小最大值回归分析。
Then the design of fault detection filter with robust eigenstructure assignment is investigated in a class of residual signal for the unknown input disturbance can not be completely decoupled.
同时，针对残差信号与未知输入干扰不能完全解耦的情况，本文采用特征结构配置方法进行鲁棒故障检测滤波器设计。
The robust fault detection filters can ensure that the residual error, generated by this filter, has both robust and directional properties.
鲁棒故障检测滤波器方法使残差既有干扰解耦特性又有方向特性。
By appropriately choosing the free parameter satisfying some constraints, the robust fault detection and isolation scheme is realized by employing only one observer-based residual generator.
通过适当选择满足一些约束的自由参数，仅使用单一观测器实现了鲁棒故障检测与分离设计。
Finally the parameter of the residual generator is optimized, so that the fault detection system is robust to the unknown inputs and simultaneously sensitive to the faults.
最后优化残差产生器的参数，使得故障检测系统对未知输入具有较强的鲁棒性，同时对故障具有较高的灵敏度。
Finally the parameter of the residual generator is optimized, so that the fault detection system is robust to the unknown inputs and simultaneously sensitive to the faults.
最后优化残差产生器的参数，使得故障检测系统对未知输入具有较强的鲁棒性，同时对故障具有较高的灵敏度。
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