7 citations · 7 across the 10 of their papers we have counts for
12 papers
Sparsity in control problems: Recent trends and open challenges
Luca Ballotta, Geethu Joseph, Geethu Josephb +7
As in all fields of engineering, control engineers constantly face a dichotomy between achieving high performance and the limited availability of resources for sensing, actuation,…
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…
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…
Real-Time Single-Iteration Model Predictive Control for Wave Energy Converters
Simone Pirrera, Nicolas Faedo, Sophie M. Fosson +1
This paper proposes a novel real-time algorithm for controlling wave energy converters (WECs). We begin with the economic model predictive control (MPC) problem formulation and app…
A constrained optimization approach to nonlinear system identification through simulation error minimization
Vito Cerone, Sophie M. Fosson, Simone Pirrera +1
This paper introduces a novel approach to system identification for nonlinear input-output models that minimizes the simulation error and frames the problem as a constrained optimi…
Set-membership identification of continuous-time MIMO systems via Tustin discretization
Vito Cerone, Sophie M. Fosson, Simone Pirrera +1
In this paper, we deal with the identification of continuous-time systems from sampled data corrupted by unknown but bounded errors. A significant challenge in continuous-time iden…
Integral control of the proximal gradient method for unbiased sparse optimization
V. Cerone, S. M. Fosson, A. Re +1
Proximal gradient methods are popular in sparse optimization as they are straightforward to implement. Nevertheless, they achieve biased solutions, requiring many iterations to con…
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks
Giulia Fracastoro, Sophie M. Fosson, Andrea Migliorati +1
The design of sparse neural networks, i.e., of networks with a reduced number of parameters, has been attracting increasing research attention in the last few years. The use of spa…
A feedback control approach to convex optimization with inequality constraints
V. Cerone, S. M. Fosson, S. Pirrera +1
We propose a novel continuous-time algorithm for inequality-constrained convex optimization inspired by proportional-integral control. Unlike the popular primal-dual gradient dynam…
A new framework for constrained optimization via feedback control of Lagrange multipliers
V. Cerone, S. M. Fosson, S. Pirrera +1
The continuous-time analysis of existing iterative algorithms for optimization has a long history. This work proposes a novel continuous-time control-theoretic framework for equali…