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Sampling rate optimization for IEEE 802.11 wireless control systems

Title
Sampling rate optimization for IEEE 802.11 wireless control systems
Authors
Kim, DohwanWon, YuchangKim, SeunghyeonEun, YongsoonPark, Kyung-JoonJohansson, Karl H.
DGIST Authors
Eun, YongsoonPark, Kyung-Joon
Issue Date
2019-04-17
Citation
ACM/IEEE International Conference on Cyber-Physical Systems, 87-96
Type
Conference
ISBN
9781450362856
Abstract
Design of wireless control systems has been extensively studied, which is one of the fundamental issues in cyber-physical systems. In this paper, we empirically investigate heterogeneous sampling rate assignment with a testbed when multiple physical systems are controlled through an IEEE 802.11 network. Among the critical design variables in wireless control systems, we focus on the sampling rates because they are always key control knobs regardless of network protocols. There has been little experimental research on heterogeneous sampling rate optimization for IEEE 802.11 wireless control systems, where the sampling rates of each control loop may have different values. We first formulate the co-design problem in an optimization framework with respect to the heterogeneous sampling rates by explicitly taking into account the relations of the sampling rates with the control cost, network energy consumption, and network delay. We further relax the problem as convex optimization, which is provably solved in polynomial time. Our empirical study ensures that the approximate solution is tightly close to the original optimum. To validate the proposed optimization framework, we build a disk-levitation tube testbed, which wirelessly controls the height of 20 disks at the same time. Our empirical study confirms that our optimization formulation is highly effective in practice. © 2019 Association for Computing Machinery.
URI
http://hdl.handle.net/20.500.11750/10059
DOI
10.1145/3302509.3311045
Publisher
Association for Computing Machinery, Inc
Related Researcher
  • Author Eun, Yongsoon DSC Lab(Dynamic Systems and Control Laboratory)
  • Research Interests Resilient control systems; Control systems with nonlinear sensors and actuators; Quasi-linear control systems; Intelligent transportation systems; Networked control systems
Files:
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Collection:
Department of Information and Communication EngineeringDSC Lab(Dynamic Systems and Control Laboratory)2. Conference Papers
Department of Information and Communication EngineeringCSI(Cyber-Physical Systems Integration) Lab2. Conference Papers


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