Estimation of Network Traffic Status for Networked Control Systems with Data Dropout and Its Control
Estimation of Network Traffic Status for Networked Control Systems with Data Dropout and Its Control
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DOI：
10.1145/3057109.3057122
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发表时间：
2017-02
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影响因子：
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通讯作者：
Daiki Hashimoto;T. Zanma;M. Wakaiki;Kang‐Zhi Liu
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文献类型：
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作者：
Daiki Hashimoto;T. Zanma;M. Wakaiki;Kang‐Zhi Liu
我们解决网络控制系统（NCSs）的数据丢失。假设数据丢失服从马尔可夫过程模型。针对数据丢失问题，提出了一种控制器综合方法。当网络流量发生变化时，需要选择合适的控制器来保证控制性能。由于控制器是根据数据丢失的马尔可夫过程模型设计的，因此需要获得网络流量状态进行选择。为此，我们提出了一个估计的网络流量状态。网络流量状态被建模为几个马尔可夫过程模型。通过比较马尔可夫过程模型的概率矩阵与网络中数据丢失历史得到的矩阵来估计。通过仿真和实验验证了该方法的有效性。
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.