Estimation of network traffic status and switching control of networked control systems with data dropout
Estimation of network traffic status and switching control of networked control systems with data dropout
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DOI：
10.1049/cps2.12024
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
T. Zanma;Daiki Hashimoto;K. Koiwa;Kang‐Zhi Liu
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文献类型：
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作者：
T. Zanma;Daiki Hashimoto;K. Koiwa;Kang‐Zhi Liu
通信技术的最新发展加速了利用网络的实时网络控制系统的研究。数据丢失本质上是不可避免的，尤其是在无线网络中，它是由传输错误和网络流量拥塞引起的。假设由离散时间同质马尔可夫链给出的多个时变网络流量状态。作者根据数据丢失历史在线估计了以马尔可夫链概率矩阵为特征的网络流量状态。根据对网络流量状态的估计，选择合适的控制器以提高控制性能。通过仿真和实验验证了所提方法的有效性。
The recent development of the communication technology accelerates studies of real‐time networked control systems using networks. The data dropout is essentially unavoidable, especially in wireless networks and it results from transmission errors and network traffic congestion. Multiple time‐varying network traffic status given by discrete‐time homogeneous Markov chains is assumed. The authors estimate the network traffic status characterised by the probability matrix of the Markov chain online from the data dropout history. According to the estimation of network traffic status, an appropriate controller is selected to improve the control performance. The effectiveness of the proposed method is verified through simulations and experiments.