2 citations · 4 across the 6 of their papers we have counts for
6 papers
A Finite-Gain Stability Approach to NMPC Design: the Extended Version
Carlo Novara, Mattia Boggio, Lorenzo Calogero +1
This paper proposes a novel approach to design of Nonlinear Model Predictive Control (NMPC) schemes based on Finite-Gain Stability (FGS) concepts. The proposed formulation consider…
A Quantum-Compliant Formulation for Network Epidemic Control
Lorenzo Zino, Mattia Boggio, Deborah Volpe +3
We deal with controlling the spread of an epidemic disease on a network by isolating one or multiple locations by banning people from leaving them. To this aim, we build on the sus…
A Quantum Approach for Optimal Transient Control in Network-Based Epidemic Models
Deborah Volpe, Giacomo Orlandi, Mattia Boggio +3
Effective epidemic control is crucial for mitigating the spread of infectious diseases, particularly when pharmaceutical interventions such as vaccines or treatments are limited. N…
Quantum optimization for Nonlinear Model Predictive Control
Carlo Novara, Mattia Boggio, Deborah Volpe
Nonlinear Model Predictive Control (NMPC) is a general and flexible control approach, used in many industrial contexts, and is based on the online solution of a nonlinear optimizat…
Set Membership based Nonlinear Model Predictive Control
Mattia Boggio, Carlo Novara, Michele Taragna
We present a numerically efficient Nonlinear Model Predictive Control (NMPC) approach, called Set Membership based NMPC (SM-NMPC). In particular, a Set Membership method is used to…
A barrier function approach to constrained Pontryagin-based Nonlinear Model Predictive Control
Michele Pagone, Mattia Boggio, Carlo Novara +2
A Pontryagin-based approach to solve a class of constrained Nonlinear Model Predictive Control problems is proposed which employs the method of barrier functions for dealing with t…