activity
20092024
most citedHomogeneous Approximation, Recursive Observer Design, and Output Feedback

851 citations · 1.2k across the 29 of their papers we have counts for

collaborators

35 papers

math.OC2024★ 1 cited

On the existence of KKL observers with nonlinear contracting dynamics (Long Version)

Victor Pachy, Vincent Andrieu, Pauline Bernard +2

KKL (Kazantzis-Kravaris/Luenberger) observers are based on the idea of immersing a given nonlinear system into a target system that is a linear stable filter of the measured output…

eess.SY2022

Total stability and integral action for discrete-time nonlinear systems

Samuele Zoboli, Daniele Astolfi, Vincent Andrieu

Robustness guarantees are important properties to be looked for during control design. They ensure stability of closed-loop systems in face of uncertainties, unmodeled effects and…

eess.SY2022

Towards improving the estimation performance of a given nonlinear observer: a multi-observer approach

E. Petri, R. Postoyan, D. Astolfi +2

Various methods are nowadays available to design observers for broad classes of systems. Nevertheless, the question of the tuning of the observer to achieve satisfactory estimation…

math.OC2022

Distributed Event-Triggered Leader-Follower Consensus of Nonlinear Multi-Agent Systems

Mathieu Marchand, Vincent Andrieu, Sylvain Bertrand +1

We consider the distributed leader-follower consensus problem with event-triggered communications. The system under consideration is a non-linear input-affine multi agent system. T…

math.AP2021

Forwarding-Lyapunov design for the stabilization of coupled ODEs and exponentially stable PDEs

Swann Marx, Daniele Astolfi, Vincent Andrieu

This paper is about the stabilization of a cascade system composed by an infinite-dimensional system, that we suppose to be exponentially stable, and an ordinary differential equat…

cs.LG2021★ 6 cited

Deep KKL: Data-driven Output Prediction for Non-Linear Systems

Steeven Janny, Vincent Andrieu, Madiha Nadri +1

We address the problem of output prediction, ie. designing a model for autonomous nonlinear systems capable of forecasting their future observations. We first define a general fram…