The information on data packet loss occurrences in a networked control system (NCS) is useful for improving the control performance and detecting communication failures or cyber-attacks. This study considers the simultaneous estimation of the plant state and packet loss occurrences at each time step. After formulation of the problem, two solutions are proposed. In the first one, an input–output representation of the NCS model is used to design a recursive filter for estimation of the packet loss occurrences. This estimation is then used for state estimation through Kalman filtering. In the second solution, a state–space model of NCS is used to design an estimator for both the plant state and the packet loss occurrences, which employs a Kalman filter. The effectiveness of the proposed solutions is shown during an example, and comparisons are made with another solution based on the interacting multiple model approach to estimation.

有关网络控制系统（NCS）中数据包丢失发生的信息，对于提高控制性能和检测通信故障或网络攻击很有用。这项研究考虑了在每个时间步同时估计工厂状态和丢包的情况。解决问题后，提出了两种解决方案。在第一个中，使用NCS模型的输入输出表示来设计递归滤波器，以估计数据包丢失的发生。然后将该估计用于通过卡尔曼滤波的状态估计。在第二种解决方案中，使用NCS的状态空间模型来设计工厂状态和数据包丢失事件的估计器，该估计器采用卡尔曼滤波器。示例中显示了所提出解决方案的有效性，