activity
20092026
most citedBoundary stabilization in finite time of one-dimensional linear hyperbolic balance laws with coefficients depending on time and space

44 citations · 159 across the 41 of their papers we have counts for

collaborators

46 papers

math.OC2026

A Palais-Smale type condition for optimal control problems

Jean-Michel Coron, Li Deng, Xu Zhang

We consider an optimal control problem with a general control constraint and a fixed initial state, for which convexity assumptions are absent. To establish the existence of optima…

math.AP2026

Strict Lyapunov function for the one-dimensional linear wave equation with a locally distributed damping

Jean-Michel Coron

We construct an explicit strict Lyapunov function for the one-dimensional linear wave equation with a locally distributed damping and Dirichlet boundary conditions.

math.AP2026

Global boundary stabilization of 1d systems of scalar conservation laws

Georges Bastin, Jean-Michel Coron, Amaury Hayat

We study a system of several one-dimensional scalar conservation laws coupled through boundary feedback conditions that combine physical boundary constraints with static feedback c…

math.AP2025

Wave maps from circle to Riemannian manifold: global controllability is equivalent to homotopy

Jean-Michel Coron, Joachim Krieger, Shengquan Xiang

We study wave maps from the circle to a general compact Riemannian manifold. We prove that the global controllability of this geometric equation is characterized precisely by the h…

math.AP2024

Global controllability to harmonic maps of the heat flow from a circle to a sphere

Jean-Michel Coron, Shengquan Xiang

In this paper, we study the global controllability and stabilization problems of the harmonic map heat flow from a circle to a sphere. Combining ideas from control theory, heat flo…

math.OC2023

Reinforcement Learning in Control Theory: A New Approach to Mathematical Problem Solving

Kala Agbo Bidi, Jean-Michel Coron, Amaury Hayat +1

One of the central questions in control theory is achieving stability through feedback control. This paper introduces a novel approach that combines Reinforcement Learning (RL) wit…