activity
20232026
most citedPerspectives on Contractivity in Control, Optimization, and Learning

8 citations · 17 across the 16 of their papers we have counts for

collaborators
Showing math.OCShow all

8 papers · 1 filter

math.OC2026

Regularized Model Predictive Control via Contractivity and Implicit Lur'e Analysis

Ryotaro Shima, Anand Gokhale, Alexander Davydov +1

This paper develops a contraction-based stability analysis for regularized model predictive control (MPC), whose feedback law is defined implicitly by a finite-horizon optimal cont…

math.OC2025

An Energy-Based Mechanism for Compositional Behavior

Francesca Rossi, Veronica Centorrino, Francesco Bullo +1

Flexible intelligence relies on the ability to reuse previously acquired behaviors and combine them differently as circumstances change. In biological and artificial systems, this…

math.OC2025

Contractivity Analysis and Control Design for Lur'e Systems: Lipschitz, Incrementally Sector Bounded, and Monotone Nonlinearities

Ryotaro Shima, Alexander Davydov, Francesco Bullo

In this paper, we study the contractivity of Lur'e dynamical systems whose nonlinearity is either Lipschitz, incrementally sector bounded, or monotone. We consider both the discret…

math.OC2025

Proximal Gradient Dynamics and Feedback Control for Equality-Constrained Composite Optimization

Veronica Centorrino, Francesca Rossi, Francesco Bullo +1

This paper studies equality-constrained composite minimization problems. This class of problems, capturing regularization terms and inequality constraints, naturally arises in a wi…

math.OC2024

Proximal Gradient Dynamics: Monotonicity, Exponential Convergence, and Applications

Anand Gokhale, Alexander Davydov, Francesco Bullo

In this letter we study the proximal gradient dynamics. This recently-proposed continuous-time dynamics solves optimization problems whose cost functions are separable into a nonsm…

math.OC2024★ 4 cited

Exponential Stability of Parametric Optimization-Based Controllers via Lur'e Contractivity

Alexander Davydov, Francesco Bullo

In this letter, we investigate sufficient conditions for the exponential stability of LTI systems driven by controllers derived from parametric optimization problems. Our primary f…

math.OC2024

On Weakly Contracting Dynamics for Convex Optimization

Veronica Centorrino, Alexander Davydov, Anand Gokhale +2

We analyze the convergence behavior of \emph{globally weakly} and \emph{locally strongly contracting} dynamics. Such dynamics naturally arise in the context of convex optimization…

math.OC2023

Contractivity of Distributed Optimization and Nash Seeking Dynamics

Anand Gokhale, Alexander Davydov, Francesco Bullo

In this letter, we study distributed optimization and Nash equilibrium-seeking dynamics from a contraction theoretic perspective. Our first result is a novel bound on the logarithm…