The proposed causal observers can determine the existence and the place of unknown input faults. Therefore the present fault diagnosis approach has potentials in practical applications.
本文所讨论的观测器可以检测出未知输入故障的存在和位置，这一特点使得这种观测器在实际应用中有广阔的前景。
Based on the unknown input observers and the concept of equivalent control, this paper considers the problem of robust fault diagnosis of sensor faults in a class of nonlinear systems.
基于未知输入观测器设计和等价控制的概念，讨论了一类非线性系统传感器故障的鲁棒故障诊断问题。
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。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
This paper realizes disturbance de-coupled with model error and system uncertainty by using a combination of full-order nonlinear unknown input observer and fault detection filter.
该文设计了全维非线性未知输入观测器，实现检测滤波器对于被控对象模型误差和系统不确定性因素的干扰解耦。
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