Estimation of network traffic status and switching control of networked control systems with data dropout

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IET Cyber-Physical Systems: Theory and Applications Pub Date : 2021-11-02 DOI:10.1049/cps2.12024
Tadanao Zanma, Daiki Hashimoto, Kenta Koiwa, Kang-Zhi Liu
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引用次数: 1

Abstract

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.

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具有数据丢失的网络控制系统的网络流量状态估计与切换控制
近年来通信技术的发展加速了利用网络实现实时网络化控制系统的研究。数据丢失是不可避免的,特别是在无线网络中,它是由传输错误和网络流量拥塞造成的。假设由离散齐次马尔可夫链给出的多时变网络流量状态。根据数据丢失历史,用马尔可夫链的概率矩阵在线估计网络流量状态。根据对网络流量状态的估计,选择合适的控制器来提高控制性能。通过仿真和实验验证了该方法的有效性。
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来源期刊
IET Cyber-Physical Systems: Theory and Applications
IET Cyber-Physical Systems: Theory and Applications Computer Science-Computer Networks and Communications
CiteScore
5.40
自引率
6.70%
发文量
17
审稿时长
19 weeks
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