Abstract
Wireless networked control systems for the Industrial Internet of Things (IIoT) require low-latency communication techniques that are very reliable and resilient. In this article, we investigate a coding-free control method to achieve ultralow latency communications in single-controller-multiplant networked control systems for both slow- and fast-fading channels. We formulate a power allocation problem to optimize the sum cost functions of multiple plants, subject to the plant stabilization condition and the controller's power limit. Although the optimization problem is a nonconvex one, we derive a closed-form solution, which indicates that the optimal power allocation policy for stabilizing the plants with different channel conditions is reminiscent of the channel-inversion policy. We numerically compare the performance of the proposed coding-free control method and the conventional coding-based control methods in terms of the control performance (i.e., the cost function) of a plant, which shows that the coding-free method is superior in a practical range of signal-to-noise ratios.
Original language | English |
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Article number | 8922618 |
Journal | IEEE Internet of Things Journal |
Volume | 7 |
Issue number | 3 |
Pages (from-to) | 1788-1801 |
Number of pages | 14 |
ISSN | 2327-4662 |
DOIs | |
Publication status | Published - Mar 2020 |
Keywords
- Analog transmission
- coding-free transmission
- low-latency communication
- optimal power allocation
- wireless networked control system (WNCS)