24 citations · 27 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
Nonlinear MPC design for incrementally ISS systems with application to GRU networks
Fabio Bonassi, Alessio La Bella, Marcello Farina +1
This brief addresses the design of a Nonlinear Model Predictive Control (NMPC) strategy for exponentially incremental Input-to-State Stable (ISS) systems. In particular, a novel fo…
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…
Supervised MPC control of large-scale electricity networks via clustering methods
Alessio La Bella, Pascal Klaus, Giancarlo Ferrari-Trecate +1
This paper describes a control approach for large-scale electricity networks, with the goal of efficiently coordinating distributed generators to balance unexpected load variations…