Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes

Predictive Control of Irrigation Canals Considering Well-being of Operators

Parametric Piecewise-Affine Approximation of Nonlinear Systems: A Cut-Based Approach

Signal selection for local module identification in linear dynamic networks: A graphical approach

Max-Min-Plus-Scaling Systems in a Discrete-Event Framework with an Application in Urban Railway

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

Numerical study on the chemical and electrochemical coupling mechanisms for concrete under combined chloride-sulfate attack

Models and methods for hybrid system identification: a systematic survey

Towards establishing an automated selection framework for underwater image enhancement methods

Benders Decomposition-Based Optimization of Train Departure Frequencies in Metro Networks

Optimal control of offshore wind farm collector systems during outages

Circular AWE Farms With High Surface Power Density

Power Smoothing in Utility-Scale Airborne Wind Energy Trajectory Optimization

An Efficient Optimal Control Method for Airborne Wind Energy Systems with a Large Number of Slowly Changing Subcycles

Quantifying AWE Optimal Control Problem Tractability with Simple Vortex Models

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

Distributed MPC for Large Freeway Networks Using Alternating Optimization

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge

A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation

Influence of hydrogen on grid investments for smart microgrids