Predictive Control of a Human–in–the–Loop Network System Considering OperatorComfort Requirements

We propose a model-predictive control (MPC)-based approach to solve a human-in-the-loop control problem for a network system lacking sensors and actuators to allow for a fully automatic operation. The humans in the loop are, therefore, essential; they travel between the network nodes to provide the remote controller with measurements and to...

High-Speed Tapping Mode AFM Utilizing Recovery of Tip-Sample Interaction

We propose to use the State Estimation by Sum-of-Norms Regularisation (STATESON-)algorithm for recovering the tip-sample interaction in high-speed tapping mode atomic force microscopy (AFM). This approach enables accurate sample height estimation for each independent cantilever oscillation period, provided that the tip-sample interaction...

Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving

Situation awareness (SA) is critical to improving takeover performance during the transition period from automated driving to manual driving. Although many studies measured SA during or after the driving task, few studies have attempted to predict SA in real time in automated driving. In this work, we propose to predict SA during the takeover...

Case Study of a Global Shutter CIS--Part 1: Angular Dependency of the Light Sensitivity

This article focuses on the angular dependency of the light sensitivity of a commercially available CMOS camera with a global shutter (storage node (SG) in the charge domain) and shared pixel architecture. The angular dependency is characterized as a function of both the wavelength and the angle of incidence of the incoming light. The...

Critical Data Visualization to Enhance Protection Schemes for State Estimation

Intelligent electrical power grids, widely referred to as smart grids (SGs), rely on digital technology resources, especially communication and measurement devices, becoming a cyber-physical energy system. Massive data flow between grid elements makes smart grids more vulnerable to cyber-attacks. Power system state estimation (SE) - an...

Shortening signal timings of vehicle-actuated controllers by using communicating, automated vehicles, in the transition period from fully human-driven vehicles to fully autonomous vehicles

Intersections are the bottleneck of traffic flow. Vehicle-actuated control improved the delay at an intersection by making the green phase variable based on the presence of vehicles as measured by detector loops. The duration of the yellow and red phase remains fixed times because intentions of specific human-driven vehicles (HDVs) are unknown,...

Isochronous partitions for region-based self-triggered control

In this article, we propose a region-based self-triggered control (STC) scheme for nonlinear systems. The state space is partitioned into a finite number of regions, each of which is associated to a uniform interevent time. The controller, at each sampling time instant, checks to which region does the current state belong, and correspondingly...

Keeping Track of Time on Energy Harvesting Systems

Energy-harvesting devices have enabled Internet of Things applications that were impossible before. Power failures are the norm for these battery-less devices, imposing a challenge to maintain a continued notion of time on these energy restricted devices. To address this challenge we introduce a novel time measurement architecture for energy...

Smart DFT Based PMU Prototype

This paper presents recent innovation in the field of the Synchronized Measurement Technology. An advanced, low complexity algorithm for synchrophasor estimation and the processing platform running embedded Linux are used to develop a cost-efficient Phasor Measurement Unit (PMU) prototype. The Smart Discrete Fourier Transform (SDFT) is adapted...

Automated Multi-core Scheduling for an Industrial-sized Mechatronic Motion Control Platform

Mechatronic embedded control systems are becoming increasingly sophisticated and computationally demanding. These systems typically consists of multiple controllers, which coordinate the actuators and apply feedback based on data collected by sensors. Often the underlying control strategy is entirely described in a software application, which...

Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving

Automated driving vehicles of the future will most likely include multiple modes and levels of operation and thus include various transitions of control (ToC) between human and machine. Traditional activation devices (e.g., knobs, switches, buttons, and touchscreens) may be confused by operators among other system setting manipulators and...

A positioning system based on NAVSAT

A worldwide navigation system called NAVSAT is discussed. This positioning system is based on satellites which broadcast information which can be used by receivers of this Information to estimate their position. The motion of the users is modelled by splines. The estimation procedure is based on the extended Kalman filter approach.

Study of NAVSAT control segment characteristics: part III: executive summary

On the proposed satellite-based navigation system NAVSAT, a study has been performed concerning the characteristics of the control segment. Starting from the outcome of earlier preliminary studies of ESA, this study shows that the concept is feasible.