Classifying Human Manual Control Behavior Using LSTM Recurrent Neural Networks

EV Smart Charging in Distribution Grids - Experimental evaluation using Hardware in the Loop Setup

Improving Traffic Efficiency With Lane Guidance Based on Desired Speeds

Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

Cyber-Physical Testbed Co-simulation Real-Time: Normal and Abnormal System Frequency Response

Controlled Power System Separation Using Generator PMU Data and System Kinetic Energy

Hierarchical Model Predictive Control for on-Line High-Speed Railway Delay Management and Train Control in a Dynamic Operations Environment

Real-time UAV routing strategy for monitoring and inspection for post-disaster restoration of distribution networks

Curve Tilting With Nonlinear Model Predictive Control for Enhancing Motion Comfort

Transient Stable Corrective Control Using Neural Lyapunov Learning

An MPC-Based Rescheduling Algorithm for Disruptions and Disturbances in Large-Scale Railway Networks

Occlusion Handling and Multi-scale Pedestrian Detection Based on Deep Learning: A Review

Real-time Fault Estimation for a Class of Discrete-Time Linear Parameter-Varying Systems

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

Development and testing of a prototype of a dental extraction trainer with real-time feedback on forces, torques, and angular velocity

Stability and Accuracy Analysis of a Distributed Digital Real-Time Co-simulation Infrastructure

Transition to Digitalized Paradigms for Security Control and Decentralized Electricity Market

Multiple Faults Estimation in Dynamical Systems: Tractable Design and Performance Bounds

A Fully Homomorphic Encryption Scheme for Real-Time Safe Control

Nimbus: Towards Latency-Energy Efficient Task Offloading for AR Services