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将网络控制系统(NCSs)的未知短时延处理成范数有界不确定性,结合Markov丢包影响将NCSs建模为不确定Markov跳变系统,设计模态依赖的鲁棒故障检测滤波器.为了提高检测系统性能,采用后置滤波器对残差信号进行时域优化,并以Moore-Penrose逆形式给出其最优解.同时,设计自适应检测阈值,并给出时变参数阵的迭代方法,降低了计算量.数值仿真表明,所提出的方法能够有效地抑制时延和丢包影响,提高故障检测系统的检测能力和检测速度.
The unknown short delay of network control system (NCSs) is treated as the norm-bounded uncertainty, and the NCSs are modeled as uncertain Markov transition system by combining the influence of Markov packet loss. The modal-dependent robust fault detection filter In order to improve the performance of the detection system, a post-filter is used to optimize the residual signal in the time domain, and the optimal solution is given in terms of Moore-Penrose inverse form. At the same time, an adaptive detection threshold is designed and the time- Iterative method to reduce the computational cost.The numerical simulation shows that the proposed method can effectively reduce the impact of delay and packet loss and improve the detection ability and detection speed of the fault detection system.