作者
Abanoub M Girgis, Jihong Park, Chen-Feng Liu, Mehdi Bennis
发表日期
2020/5/26
研讨会论文
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
页码范围
1-5
出版商
IEEE
简介
While remote control over wireless connections is a key enabler for scalable control systems consisting of multiple actuator-sensor pairs, i.e., control systems, it entails two technical challenges. Due to the lack of wireless resources, only a limited number of control systems can be served, making the state observations outdated. Further, even after scheduling, the state observations received through wireless channels are distorted, hampering control stability. To address these issues, in this article we propose a scheduling algorithm that reduces the age-of-information (AoI) of the last received states. Meanwhile, for non-scheduled sensor-actuator pairs, we propose a machine learning (ML) aided predictive control algorithm, in which states are predicted using a Gaussian process regression (GPR). Since the GPR prediction credibility decreases with the AoI of the input data, both predictive control and AoI-based …
学术搜索中的文章
AM Girgis, J Park, CF Liu, M Bennis - 2020 IEEE 21st International Workshop on Signal …, 2020