31 citations · 39 across the 24 of their papers we have counts for
25 papers
Discrete-time feedback linearization control for nonsmooth constrained optimization
Vito Cerone, Sophie Marie Fosson, Simone Pirrera +2
We propose a discrete-time feedback linearization control approach to solve nonsmooth linearly constrained composite optimization problems. By using proximal operators, we construc…
Online sparse observers for cyber-physical systems under sensor bias
Vito Cerone, Sophie M. Fosson, Diego Regruto +1
The design of state observers for cyber-physical systems under sparse sensor biases, faults, or attacks has drawn substantial attention in recent years. While sparsity-based batch…
Thermal management optimization of Battery Electric Vehicles via hierarchical NMPC with CMO-trained Neural Models
Francesco Ripa, Diego Regruto, Pasquale Ceres +1
This paper addresses the problem of energy-efficient thermal management in Battery Electric Vehicles (BEVs), with the goal of extending driving range while ensuring passenger comfo…
Global Convergence of Control-Based Lagrangian Flows for Non-Convex Optimization
Simone Pirrera, Francesco Ripa, Daniele Astolfi +3
This paper studies the continuous-time dynamics generated by control-theoretic Lagrangian methods for equality-constrained optimization. In particular, we consider dynamics induced…
Feedback control of Lagrange multipliers for non-smooth constrained optimization
V. Cerone, S. M. Fosson, S. Pirrera +2
In this work, we develop a control-theoretic framework for constrained optimization problems with composite objective functions including non-differentiable terms. Building on the…
Data-Driven Control Of Power Converters
Marwan Soliman, Pauline Kergus, Diego Regruto +2
The fundamental role of power converters is to efficiently manage and control the flow of electrical energy, ensuring compatibility between power sources and loads. All these appli…