54 citations · 57 across the 4 of their papers we have counts for
4 papers
SIMBa: System Identification Methods leveraging Backpropagation
Loris Di Natale, Muhammad Zakwan, Philipp Heer +2
This manuscript details and extends the SIMBa toolbox (System Identification Methods leveraging Backpropagation) presented in previous work, which uses well-established Machine Lea…
Stable Linear Subspace Identification: A Machine Learning Approach
Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic +3
Machine Learning (ML) and linear System Identification (SI) have been historically developed independently. In this paper, we leverage well-established ML tools - especially the au…
Data-driven adaptive building thermal controller tuning with constraints: A primal-dual contextual Bayesian optimization approach
Wenjie Xu, Bratislav Svetozarevic, Loris Di Natale +2
We study the problem of tuning the parameters of a room temperature controller to minimize its energy consumption, subject to the constraint that the daily cumulative thermal disco…
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments
B. Svetozarevic, C. Baumann, S. Muntwiler +3
This work presents a fully data-driven, black-box pipeline to obtain an optimal control policy for a multi-loop building control problem based on historical building and weather da…