22 citations · 44 across the 5 of their papers we have counts for
6 papers
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
Gaoyang Pang, Kang Huang, Daniel E. Quevedo +3
We consider a joint uplink and downlink scheduling problem of a fully distributed wireless networked control system (WNCS) with a limited number of frequency channels. Using elemen…
Wireless Feedback Control with Variable Packet Length for Industrial IoT
Kang Huang, Wanchun Liu, Yonghui Li +2
The paper considers a wireless networked control system (WNCS), where a controller sends packets carrying control information to an actuator through a wireless channel to control a…
Optimal Downlink-Uplink Scheduling of Wireless Networked Control for Industrial IoT
Kang Huang, Wanchun Liu, Yonghui Li +2
This paper considers a wireless networked control system (WNCS) consisting of a dynamic system to be controlled (i.e., a plant), a sensor, an actuator and a remote controller for m…
Real-Time Remote Estimation with Hybrid ARQ in Wireless Networked Control
Kang Huang, Wanchun Liu, Mahyar Shirvanimoghaddam +2
Real-time remote estimation is critical for mission-critical applications including industrial automation, smart grid and tactile Internet. In this paper, we propose a hybrid autom…
To Retransmit or Not: Real-Time Remote Estimation in Wireless Networked Control
Kang Huang, Wanchun Liu, Yonghui Li +1
Real-time remote estimation is critical for mission-critical applications including industrial automation, smart grid, and the tactile Internet. In this paper, we propose a hybrid…
Non-classical non-Gaussian state of a mechanical resonator via selectively incoherent damping in three-mode optomechanical systems
Kang-jing Huang, Yan Yan, Jia-pei Zhu +2
We theoretically propose a scheme for the generation of a non-classical single-mode motional state of a mechanical resonator (MR) in the three-mode optomechanical systems, in which…