中文摘要：

研究了具有传感器量化数据随机丢失情况下非线性网络控制系统的故障检测问题．考虑到数据量化和网络噪声等不确定因素对网络控制系统故障检测性能的影响，建立了随机非线性网络化控制系统模型，并将网络控制系统的故障检测问题转化为H∞扰动问题．基于获得的扩展滤波误差系统模型，利用李雅普诺夫函数方法，给出了线性矩阵不等式形式的结论，在线性矩阵不等式具有可行解情况下，设计了观测器形式的故障检测滤波器．给出了数据传输率和量化水平与故障检测性能之间的数量关系，仿真结果验证了所得结论的有效性．

英文摘要：

Fault detection problem of nonlinear networked control systems with random quantized sensor data was studie, d. Considering the effect of data quantization and network constraint on fault detection performance, a stochastic nonlinear systems model was established. By utilizing Lyapunov technique, sufficient condition in term of linear matrix inequality was established, and the quantity relation of data transmission rate and quantization level to fault detection performance was obtained. The effectiveness of the proposed methods was demonstrated by simulation examples.