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20242026
most citedA new framework for constrained optimization via feedback control of Lagrange multipliers

7 citations · 7 across the 10 of their papers we have counts for

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5 papers · 1 filter

math.OC2026

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,…

math.OC2026

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…

eess.SY2026

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…

math.OC2026

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…

math.OC2026

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…