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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.
The problem of fault detection of nonlinear networked control systems with random loss of sensor quantization data is studied.Considering the influence of uncertainties such as data quantization and network noise on the fault detection performance of networked control systems, a stochastic nonlinear networked control system Model, and the fault detection problem of networked control system is transformed into H∞ perturbation problem.Based on the obtained extended filter error system model, the conclusion of the form of linear matrix inequality is given by using Lyapunov function method. The linear matrix inequality is feasible In the case of solution, a fault detection filter in the form of observer is designed, and the quantitative relationship between data transmission rate, quantization level and fault detection performance is given. The simulation results verify the validity of the conclusion.