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"Event-triggered distributed moving horizon estimation for smart sensor" by Chenhui Xu, Defeng He et al.

This paper addresses the distributed state estimation problem of smart sensor networks affected by fading channels and constraints. An event-triggered distributed moving horizon estimation method is proposed from a robust perspective. Specifically, by considering the worst-case scenario of fading channels, the estimator in our proposed method is formulated as a minimax optimization problem with bound constraints. An event trigger mechanism (ETM) is incorporated to regulate information exchange among nodes. Sufficient conditions ensuring the local input-to-state consistent stability (LISCS) and the input-to-state stability (ISS) of estimation errors are established. To satisfy these conditions, the estimator’s parameters are derived by solving linear matrix inequalities (LMIs). Additionally, two approximate solutions for the estimator are presented to reduce the computational burden of online estimation. Finally, the simulation comparison and experimental results demonstrate the effec ....

Istributed Moving Horizon Estimation , Estimation Error , Event Trigger , Fading Channels , Nput To State Stability , Intelligent Sensors , Obust State Estimation , Smart Sensor Networks , State Estimation , Ymmetric Matrices ,

Best Readings in Communications in Wireless Networked Control | IEEE Communications Society

Best Readings in Communications in Wireless Networked Control
Wireless networked control has attracted a lot of attention from both academia and industry in the past two decades, and has become a hot topic in recent years, mainly driven by mission-critical Industrial Internet of Things (IIoT) applications requiring closed-loop control, such as intelligent transportation, Tele-surgery, industry automation, power systems automation, and power electronics control. Specifically, a wireless networked control system (WNCS) is a spatially distributed control system consisting of networked sensors, actuators and a controller. The wireless sensors measure and report the physical process states of interest, the remote controller collects the sensors’ measurements and generates control signals, and the wireless actuators receive the control signals and control the processes. Due to its spatially distributed nature, reliable, dynamic and secure wireless communications among sensor, ....

United States , Hong Kong , New South Wales , City Of , United Kingdom , Daniele Quevedo , Vincent Nk Lau , Petar Popovski , Wanchun Liu , S Coleri Ergen , Yonghui Li , Matthewc Valenti , Xianbin Wang , Energy Constraints , Energy Harvesting Sensor , Lossy Wirelesshart Network , Transactions On Wireless Communications , Wireless Network Design For Control Systems , Wireless Networked Control System Co , Chungnam National University , International Conference On Networking , Actuator Networks For Industrial Cyber , Queensland University Of Technology , Communication Networks , Journal On Selected Areas In Communications , Estimation Over Sensor Networks ,