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Found 12 papers, 0 papers with code
Remote UGV Control via Practical Wireless Channels: A Model Predictive Control Approach
In addressing wireless networked control systems (WNCS) subject to unexpected packet loss and uncertainties, this paper presents a practical Model Predictive Control (MPC) based control scheme with considerations of of packet dropouts, latency, process noise and measurement noise.
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach
For cyber-physical systems in the 6G era, semantic communications connecting distributed devices for dynamic control and remote state estimation are required to guarantee application-level performance, not merely focus on communication-centric performance.
Structure-Enhanced DRL for Optimal Transmission Scheduling
In addition, we show that the derived structural properties exist in a wide range of dynamic scheduling problems that go beyond remote state estimation.
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling
Furthermore, we introduce a structure-enhanced loss function to add penalty to actions that do not follow the policy structure.
Deep Learning for Wireless Networked Systems: a joint Estimation-Control-Scheduling Approach
Wireless networked control system (WNCS) connecting sensors, controllers, and actuators via wireless communications is a key enabling technology for highly scalable and low-cost deployment of control systems in the Industry 4. 0 era.
DRL-based Resource Allocation in Remote State Estimation
Existing algorithms on dynamic radio resource allocation for remote estimation systems assumed oversimplified wireless communications models and can only work for small-scale settings.
Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes
In this paper we consider the problem of remote state estimation of a Gauss-Markov process, where a sensor can, at each discrete time instant, transmit on one out of M different communication channels.
Stability Conditions for Remote State Estimation of Multiple Systems over Semi-Markov Fading Channels
In particular, we show that, from a system stability perspective, fast fading channels may be preferable to slow fading ones.
Splitting Receiver with Joint Envelope and Coherent Detection
This letter proposes a new splitting receiver design with joint envelope detection (ED) and coherent detection (CD).
Deep Reinforcement Learning for Wireless Scheduling in Distributed Networked Control
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.
Stability Conditions for Remote State Estimation of Multiple Systems over Multiple Markov Fading Channels
We investigate the stability conditions for remote state estimation of multiple linear time-invariant (LTI) systems over multiple wireless time-varying communication channels.
Remote State Estimation with Smart Sensors over Markov Fading Channels
A smart sensor forwards its local state estimate to a remote estimator over a time-correlated $M$-state Markov fading channel, where the packet drop probability is time-varying and depends on the current fading channel state.
