In this paper, we study distributed channel triggering mechanisms for wireless networked control systems (WNCSs) for conventional and smart sensors, i.e., sensors without and with computational power, respectively. We first consider the case of conventional sensors in which the state estimate is performed based on the intermittent raw measurements received from the sensor and we show that the priority measure is associated with the statistical properties of the observations, as it is the case of the cost of information loss (CoIL) [1]. Next, we consider the case of smart sensors and despite the fact that CoIL can also be deployed, we deduce that it is more beneficial to use the available measurements and we propose a function of the value of information (VoI) [2], [3] that also incorporates the channel conditions as the priority measure. The different scenarios and priority measures are discussed and compared for simple scenarios via simulations.
This paper considers the problem of hub-based platoon coordination for a large-scale transport system, where trucks have individual utility functions to optimize. An event-triggered distributed model predictive control method is proposed to solve the optimal scheduling of waiting times at hubs for individual trucks. In this distributed framework, trucks are allowed to decide their waiting times independently and only limited information is shared between trucks. Both the predicted reward gained from platooning and the predicted cost for waiting at hubs are included in each truck's utility func…
We study the self-triggered stabilization of discrete-time linear systems with quantized state measurements. In the networked control system we consider, sensors may be spatially distributed and be connected to a self-triggering mechanism through finite data-rate channels. Each sensor independently encodes its measurements and sends them to the self-triggering mechanism. The self-triggering mechanism integrates quantized measurement data and then computes sampling times. Assuming that the closed-loop system is stable in the absence of quantization and self-triggered sampling, we propose a join…
A Passivity-Based Design for Stability and Robustness in Event-Triggered Networked Control Systems with Communication Delays, Signal Quantizations and Packet Dropouts
