Differentiable programming for gradient-based control and optimization in physical systems

We have recently published a paper with GMV at Elsevier and I wanted to share it here also. Link to Article: https://www.sciencedirect.com/science/article/pii/S2352467724002248 Abstract This paper presents an exploration of the application of control theory, particularly utilizing a gradient-based algorithm, to automate and optimize the operation of photovoltaic panels and refrigeration systems in warehouse environments. The study emphasizes achieving coordination between energy generation and consumption, specifically harnessing surplus solar energy for efficient refrigeration. The complex interplay between fluctuating solar irradiance, thermal dynamics of the warehouse, and refrigeration needs underscores the significance of control theory in designing algorithms to dynamically adjust PV panel output and refrigeration system operation. The paper discusses foundational control theory principles, proposes a tailored framework for warehouse operations, and highlights the potential for sustainable energy practices. This paper explores the use of data-driven approaches based on NeuralODEs vs classical ones using physics equations. ...

August 18, 2024 · 1 min · Daniel López Montero

Traffic Flow Dynamics

What do traffic congestion, supermarket lines and fluid dynamics have in common? While we are driving, we are used to think of cars as single individuals/entities. Although, every individual has its own driving tendencies and peculiarities, at a higher-scale, we behave within certain constraints and collective behavior. This quantities can be interpreted in many cases as a homogeneous dense fluid of cars. In this post I will focus on modelling traffic flow using fluid dynamics principles. ...

August 17, 2024 · 4 min · Daniel López Montero