Model Predictive Control for Automated Driving and Collision Avoidance: Design of an integrated NMPC with simultaneous lateral and longitudinal control via steering and braking

The automotive sector has seen a rapid transition towards autonomous driving with an aim to achieve SAE Level 5 vehicle. The incessant drive for innovation has resulted in modern passenger cars equipped with plethora of control technologies such as ABS, VSC, AFS via EPS assist etc. all working respectively in various critical and non-critical...

Operating power-to-heat in thermal grids: Mitigating wind power intermittency through the electrification of a heat network

Externalities of conventional energy sources encourage a transition to a sustainable energy system. Both the intermittency of renewable energy sources and the carbon-intensity of the heat sector challenge this transition. In the context of heat and renewable power integration, this report focuses on balancing uncertain wind power production...

Time-Optimal Control for Tiny Quadcopters

Time-optimal model-predictive control is essential in achieving fast and adaptive quadcopter flight. Due to the limited computational performance of onboard hardware, aggressive flight approaches have relied on off-line trajectory optimization processes or non time-optimal methods. In this work we propose a computational efficient model...