1 citations · 1 across the 4 of their papers we have counts for
4 papers
Goal-oriented safe active learning for predictive control using Bayesian recurrent neural networks
Laura Boca de Giuli, Alessio La Bella, Manish Prajapat +4
A key challenge in learning-based model predictive control (MPC) is to collect informative data online for model adaptation while ensuring safety and without penalising control per…
Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models
Laura Boca de Giuli, Samuel Mallick, Alessio La Bella +3
This paper presents a model predictive control (MPC) framework leveraging an ensemble of data-based models to optimally control complex systems under multiple operating conditions.…
Learning, fast and slow: a two-fold data-based model adaptation algorithm for processes under varying operating conditions
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
This article proposes a novel two-fold learning framework to maintain the accuracy of data-based process models, typically affected by two types of uncertainty. Out-of-domain uncer…
Physics-informed Neural Network Modelling and Predictive Control of District Heating Systems
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
This paper addresses the data-based modelling and optimal control of District Heating Systems (DHSs). Physical models of such large-scale networked systems are governed by complex…