469 citations · 3.4k across the 163 of their papers we have counts for
6 papers · 1 filter
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Zihuai Zhao, Wanchun Liu, Daniel E. Quevedo +2
Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost de…
DRL-based Resource Allocation in Remote State Estimation
Gaoyang Pang, Wanchun Liu, Yonghui Li +1
Remote state estimation, where sensors send their measurements of distributed dynamic plants to a remote estimator over shared wireless resources, is essential for mission-critical…
Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Branka Vucetic +1
This work studies remote state estimation of multiple linear time-invariant systems over shared wireless time-varying communication channels. We model the channel states by a semi-…
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…
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Karl H. Johansson +2
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels. We a…
Remote State Estimation with Smart Sensors over Markov Fading Channels
Wanchun Liu, Daniel E. Quevedo, Yonghui Li +2
We consider a fundamental remote state estimation problem of discrete-time linear time-invariant (LTI) systems. A smart sensor forwards its local state estimate to a remote estimat…