Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Abstract: To optimize the dispatch of batteries, a model is required that can predict the state of energy (SOE) trajectory for a chosen open-loop power schedule to ensure admissibility (i.e., that ...

We’ve created something in our own image, and have started to worry about how well we know it. What are the very real ...

Abstract: Model mismatch often presents significant challenges in model-based controller design. This paper investigates model predictive control (MPC) for uncertain linear systems with input ...

When it comes to the mental health benefits of urban green space, a moderate amount is best, a new study concludes. The ...