Modeling, control, and optimization of thermotronic systems

Modeling, control, and optimization of thermotronic systems

Modeling, control, and optimization of thermotronic systems The project started with a comprehensive exploration of turbocharger performance modeling, focusing on both the compressor and turbine sides. The initial phase aims to develop a solid understanding of how...
Autonomous farming: Estimation and control

Autonomous farming: Estimation and control

Autonomous farming: Estimation and control Copyright Väderstad. Climate change, population growth, and the urgent need to preserve biodiversity present major challenges for the future of food production. Agriculture is central when addressing these issues. One...
Collaborative decision-making in uncertain scenarios

Collaborative decision-making in uncertain scenarios

Collaborative decision-making in uncertain scenarios Our research initiative aims to tackle challenges in multi-agent decision-making under uncertainty, with a focus on mission-critical scenarios. We will investigate how autonomous systems can effectively collaborate...
Foundation Model and Reinforcement Learning

Foundation Model and Reinforcement Learning

Foundation Model and Reinforcement Learning One of the main challenges in control is generalization to diverse and unseen tasks. Conventional control methods and modern Reinforcement Learning (RL) approaches have focused on task-specific solutions or a tabula rasa...