论文标题
联网控制系统中的状态和数据包损失的同时估计
Simultaneous Estimation of State and Packet-Loss Occurrences in Networked Control Systems
论文作者
论文摘要
可以使用估计网络控制系统（NC）中数据包损失的发生，可用于改善控制性能并检测故障或网络攻击。这项研究考虑了每个时间步骤的植物状态和数据包丢失的同时估计。提出问题后，提出了两种解决方案。在第一个中，NCS模型的输入输出表示形式用于设计递归过滤器，以估计数据包丢失的发生。然后，该估计通过卡尔曼过滤用于状态估计。在第二个解决方案中，NCS的状态空间模型用于设计使用Kalman滤波器的植物状态和数据包损失的估计器。在示例中显示了解决方案的有效性，并根据相互作用的多个模型估计方法进行了比较，并在提出的解决方案和另一种解决方案之间进行了比较。
Estimating the occurrence of packet losses in a networked control systems (NCS) can be used to improve the control performance and to detect failures or cyber-attacks. This study considers simultaneous estimation of the plant state and the 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 solutions is shown during an example and comparisons are made between the proposed solutions and another solution based on the interacting multiple model estimation method.
