标题：Robust Fault Detection for the Networked Control System with Model Uncertainty
作者：Qi, Xiaomei; Gu, Jason; Zhang, Cheng-Jin
作者机构：[Qi, Xiaomei] Shandong Univ Technol, Coll Elect & Elect Engn, Zibo 255049, Peoples R China.; [Gu, Jason] Dalhousie Univ, Dept Elect & Comp Engn, Hal 更多
会议名称：10th IEEE International Conference on Control and Automation (IEEE ICCA)
会议日期：JUN 12-14, 2013
来源：2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA)
关键词：Uncertain networked control systems; fault detection; data packet; dropout; fault alarm rate
摘要：Robust fault detection for a networked control system (NCS) including model uncertainty and stochastic data packet dropout is investigated, the NCS model with stochastic variable is established. Based on the observer method, a robust fault detection filter can generate a residual signal, which has good robustness to the model uncertainty, external disturbance, data packet dropout, and sensitivity to the fault. Then, the sufficient condition of asymptotically mean-square stable for the residual dynamical system is achieved. The desired robust fault detection filter is obtained, which is constructed in terms of certain linear matrix inequality (LMI). In the residual evaluation part, a threshold involved false alarm rate is presented, and the problem of estimating false alarm rate is analyzed. Finally, two numerical examples illustrate the effectiveness of the proposed approach.