Kalman Filter Based on Fault Detection and Isolation of Networked Control System
The networked control system (NCS) with white noise is discussed in this paper. The sensor and controller are time-driven. The networked control system with output time-variant delay and white noise is modeled as a sampled control system. First, the iterative method is used to compensate the time-delay and to derive the Kalman filter gain matrix Kk+1. Then different Kalman filters are constructed for NCS according to different system faults. The respective residues are generated and a fault detection and isolation (FDI) approach is introduced. At last, the simulation example is given to show the effectiveness of the proposed approach.
Yingwei Zhang Yu Chen
Institute of Automation Northeastern University Shenyang, P. R. China, 110004
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）