Physics-Informed Neural Networks for Designing Spacecraft Trajectories

Towards Green Steel: A Dynamic Programming Approach to Slag-Basicity Control in HIsarna

Optimal Feedforward Control for Offshore Wind Turbines During Grid Faults

Safe Flight Envelope Prediction and Experimental Validation of Multirotor UAV: An Analysis on the Effects of Longitudinal Center of Gravity Position and Actuator Dynamics on Quadcopter Flight Envelopes

Incorporating climate change in I&M planning for engineering structures - A Deep Reinforcement Learning Framework

Design of a groundwater-based Model Predictive Control algorithm for the operation of water table control systems: A proof of concept

Data-driven optimal control for safe quadrotor navigation in windy environments

Topological network-assisted quantum operations in two-dimensions

Real-Time Predictive Speed Control for Eco-Driving at Signalized Intersections Considering Queue Constraints

Comparing Two Approaches of Modelling Fish Harvesting Strategies Using Optimal Control

Optimal Control And Energy Management For Hybrid Aircraft

Modelling and Optimal Scheduling of Inland Waterway Transport Systems: A Switching Max-Plus-Linear Systems Approach

From Supervised to Reinforcement Learning: an Inverse Optimization Approach

Increasing the efficiency of flower inventory management using RFID technology and optimal control

Mitigation of Motion Sickness Using Optimal Speed Profiling in Automated Vehicles

High-Dimensional Optimal State-Feedback Mapping using Deep Neural Networks for Agile Quadrotor Flight

Formal Synthesis of Optimal Neural Network Controllers

Time-Optimal Control for Tiny Quadcopters

Energy Efficient Electric Vehicle Platooning At Signalized Intersections

Safe Navigation in Dense Traffic Scenarios using Reinforcement Learning as Global Guidance for a Model Predictive Controller