故障检测的集员辨识方法

SET MEMBERSHIP IDENTIFICATION APPROACH FOR FAULT DETECTION

为了处理数学模型不精确已知系统的故障检测问题，给出了一种故障检测的集员辨识方法。与以往基于模型的故障检测方法相比，该方法不要求模型参数真实值的先验信息。仿真结果验证了该方法的快速性和有效性。

A set membership identification approach is provided to deal with the problem of fault detection of systems with models not precisely known. Compared with the former model based approaches of fault detection, the present one does not require the a priori knowledge about the true parameters of models. Simulations show the quickness and the effectiveness of this approach.