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"Adaptive Resilient Event-Triggered Control Design of Autonomous Vehicl" by Kun Zhang, Rong Su et al.


Abstract
This article investigates the adaptive resilient event-triggered control for rear-wheel-drive autonomous (RWDA) vehicles based on an iterative single critic learning framework, which can effectively balance the frequency/changes in adjusting the vehicle s control during the running process. According to the kinematic equation of RWDA vehicles and the desired trajectory, the tracking error system during the autonomous driving process is first built, where the denial-of-service (DoS) attacking signals are injected into the networked communication and transmission. Combining the event-triggered sampling mechanism and iterative single critic learning framework, a new event-triggered condition is developed for the adaptive resilient control algorithm, and the novel utility function design is considered for driving the autonomous vehicle, where the control input can be guaranteed into an applicable saturated bound. Finally, we apply the new adaptive resilient control scheme ....

Adaptive Dynamic Programming Adp , Autonomous Vehicle , Event Triggered Control , Optimal Control , Esilient Control , Tracking Control ,

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 ,