Optimal Fault Diagnosis for Networked Control Systems withLarge Time-delays and Noises
含大时滞和噪声的网络化控制系统的最优故障诊断

The problem of fault diagnosis is investigated for networked control systems (NCS) with large measurement delays and noises. Based on the delay-free transformation approach, a novel design approach to optimal fault diagnoser is proposed. This scheme first establishes an augmented system with hidden fault states, and the networked control system with delays is transformed into a delay-free one by using the delay-free transformation approach. Then, a diagnosability criterion of faults is given. Furthermore, the design problem of the optimal fault diagnoser is transformed into the design problem of a state feedback controller by utilizing the duality principle. Finally, the real-time fault diagnosis is realized by constructing a novel optimal fault diagnoser which meets the quadratic performance index. The feasibility and validity of the proposed scheme are demonstrated by a simulation example.