collaborators

11 papers

eess.SY2026

Smooth globally PLI functions are nonlinear least-squares, and so are their gradient-dominated cousins

Eduardo D. Sontag

Boumal, Criscitiello and Rebjock (BCR) proved that if is a contractible, connected and complete Riemannian manifold, then every smooth function satisfying the…

eess.SY2026

On input-output persistency and the interconnection of positive nonlinear systems

Arthut Castello B. de Oliveira, Moh K. Wafi, Eduardo D. Sontag

In this paper we study feedback interconnections of positive nonlinear SISO systems and introduce two complementary properties: persistent-input/persistent-output (PIPO) for the pl…

math.OC2026

Universal Formulas for Safe Control and Their Neural Network Approximations

Pol Mestres, Jorge Cortés, Eduardo D. Sontag

We study the problem of designing a controller that satisfies an arbitrary number of affine inequalities at every point in the state space. This is motivated by the fact that a var…

cs.LG2025

Autoencoding Dynamics: Topological Limitations and Capabilities

Matthew D. Kvalheim, Eduardo D. Sontag

Given a "data manifold" and "latent space" , an autoencoder is a pair of continuous maps consisting of an "encoder" $E\colon \mathbb{R}^n\t…

math.OC2025

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem

Moh Kamalul Wafi, Arthur Castello B. de Oliveira, Eduardo D. Sontag

In this work we study the convergence of gradient methods for nonconvex optimization problems -- specifically the effect of the problem formulation to the convergence behavior of t…

eess.SY2025

Small-Covariance Noise-to-State Stability of Stochastic Systems and Its Applications to Stochastic Gradient Dynamics

Leilei Cui, Zhong-Ping Jiang, Eduardo D. Sontag

This paper studies gradient dynamics subject to additive random noise, which may arise from sources such as stochastic gradient estimation, measurement noise, or stochastic samplin…