Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Liu, Wanchun"'
Wireless Human-Machine Collaboration (WHMC) represents a critical advancement for Industry 5.0, enabling seamless interaction between humans and machines across geographically distributed systems. As the WHMC systems become increasingly important for
Externí odkaz:
http://arxiv.org/abs/2410.14153
Wireless Networked Control Systems (WNCSs) are essential to Industry 4.0, enabling flexible control in applications, such as drone swarms and autonomous robots. The interdependence between communication and control requires integrated design, but tra
Externí odkaz:
http://arxiv.org/abs/2410.11316
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, proce
Externí odkaz:
http://arxiv.org/abs/2403.08398
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 perfor
Externí odkaz:
http://arxiv.org/abs/2305.13706
Recently proposed splitting receivers, utilizing both coherently and non-coherently processed signals for detection, have demonstrated remarkable performance gain compared to conventional receivers in the single-antenna scenario. In this paper, we pr
Externí odkaz:
http://arxiv.org/abs/2303.04321
Autor:
Chen, Jiazheng, Liu, Wanchun, Quevedo, Daniel E., Khosravirad, Saeed R., Li, Yonghui, Vucetic, Branka
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, we focus on the transmission scheduling problem of a remote estimation system. First, we derive some structural
Externí odkaz:
http://arxiv.org/abs/2212.12704
Remote state estimation of large-scale distributed dynamic processes plays an important role in Industry 4.0 applications. In this paper, by leveraging the theoretical results of structural properties of optimal scheduling policies, we develop a stru
Externí odkaz:
http://arxiv.org/abs/2211.10827
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. Despite the tight
Externí odkaz:
http://arxiv.org/abs/2210.00673
Remote state estimation, where many sensors send their measurements of distributed dynamic plants to a remote estimator over shared wireless resources, is essential for mission-critical applications of Industry 4.0. Most of the existing works on remo
Externí odkaz:
http://arxiv.org/abs/2205.11861
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 applications of Industry 4.0. Existing algorithms on dynamic radio re
Externí odkaz:
http://arxiv.org/abs/2205.12267