24 citations · 35 across the 5 of their papers we have counts for
5 papers
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units
Jing Xie, Léo Simpson, Jonas Asprion +1
Temperature control is a complex task due to its often unknown dynamics and disturbances. This paper explores the use of Neural Nonlinear AutoRegressive eXogenous (NNARX) models fo…
Moving horizon partition-based state estimation of large-scale systems -- Revised version
Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
This report presents three Moving Horizon Estimation (MHE) methods for discrete-time partitioned linear systems, i.e. systems decomposed into coupled subsystems with non-overlappin…
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…
Towards lifelong learning of Recurrent Neural Networks for control design
Fabio Bonassi, Jing Xie, Marcello Farina +1
This paper proposes a method for lifelong learning of Recurrent Neural Networks, such as NNARX, ESN, LSTM, and GRU, to be used as plant models in control system synthesis. The prob…