Estimation of Network Traffic Status for Networked Control Systems with Data Dropout and Its Control

We address networked control systems (NCSs) with data dropout. The data dropout is assumed to obey a Markovian process model. For the data dropout, a controller synthesis is reviewed. When the network traffic varies, it is necessary to select an adequate controller to guarantee the control performance. Since the controller is designed according to the Markovian process model of the data dropout, it is necessary to obtain the network traffic status for the selection. For the purpose, we propose an estimation of the network traffic status. The network traffic status is modeled as several Markovian process models. It is estimated by comparing the probability matrices of the Markovian process models with the matrix that is obtained the data-dropout history in the network. The effectiveness of the proposed method is verified through simulations and experiments.

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