On the road from Model-Based Dynamical Programming to Model-Free Reinforcement Learning: A sample efficient approach

On the Control of Downstream Wind Turbines using the Helix Approach: A Wake Synchronization Method

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

Large-Scale Setpoint Tracking Controller for Co-regulation of Electric Vehicle Charging Stations: Coordinating Charging with Energy Market Dynamics

Integrating human drivers' behavioural rules into microscopic traffic simulation

Model-based Integrated Planning and Control of Autonomous Vehicles using Artificial Potential Fields

Realisation of canonical MMPS functions using finest-base-region partitioning

Omnidirectional Monocular Collision Avoidance Onboard a Quadrotor

Generative Adversarial Networks for Shadow Removal to Improve Semantic Segmentation for Autonomous Driving

Optimising the Decentralisation of Periodic Event-Triggered Control

Controlling the estimation bias in deep reinforcement learning problems with sparse rewards: Towards robust robotic object manipulation learning

Scalable magnetic field modeling using structured kernel interpolation for Gaussian process regression

Freeway Traffic Control - An adaptive control approach towards easy-to-implement Variable Speed Limit algorithms

Assessing meditation through electroencephalographic data: a dynamical systems approach

Dynamic Programming based basicity control of an experimental smelting furnace prototype

Forecasting Mortgage Prepayments in Changing Interest Rate Regimes: A Hybrid Economic-Engineering Model with EMPC

A real-time optimal control approach to autonomous drifting

Tensor decomposition for Independent Component Analysis: Through implicit cumulant tensor manipulation

Multivariable Anomaly Detection Framework for Multi-sensor Network: From rule-based to data-driven

Magnetic field SLAM: using an inertial human motion suit and reduced rank Gaussian process regression