About me

Since April 2013, I am Associate Professor in the department DISC of ISAE-SUPAERO.

I defended my PhD Thesis on October 2012, the 22nd, entitled Observateurs en dimension infinie. Application à l’étude de quelques problèmes inverses, under the supervision of Karim Ramdani and Marius Tucsnak. I focused on inverse problems for linear systems using the observers-based algorithm introduced by Ramdani, Tucsnak and Weiss (Recovering the initial state of an infinite-dimensional system using observers, Automatica, vol. 46, pp. 1616-1625, 2010). Such problems arise for instance in medical imaging, meteorology, source identification and much more.

Since then, I worked on modeling, control and discretization of Partial Differential Equations, mainly in the port-Hamiltonian framework.

Latest Publications

Port-Hamiltonian reduced order modelling of the 2D Maxwell equations

Gouzien Mattéo, Poussot-Vassal Charles, Haine Ghislain, Matignon Denis

DOI: 10.1108/compel-10-2024-0421

Gouzien Mattéo, Poussot-Vassal Charles, Haine Ghislain, Matignon Denis (2025) Port-Hamiltonian reduced order modelling of the 2D Maxwell equations. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering; X(X):PP–PP

Stokes-Lagrange and Stokes-Dirac representations of N-dimensional port-Hamiltonian systems for modeling and control

Bendimerad-Hohl Antoine, Haine Ghislain, Lefèvre Laurent, Matignon Denis

DOI: 10.3934/cam.2025020

Bendimerad-Hohl Antoine, Haine Ghislain, Lefèvre Laurent, Matignon Denis (2025) Stokes-Lagrange and Stokes-Dirac representations of \(N\)-dimensional port-Hamiltonian systems for modeling and control. Communications in Analysis and Mechanics; 17(2):474–519

Current projects

• PHRAISE: Port-Hamiltonian Representation and Approximation of Interconnected Systems using Energy is a bibliographical survey attempt about port-Hamiltonian researches, both on the theoretical and the numerical sides.
• SCRIMP: Simulation and ContRol of Interactions in Multi-Physics is a python collection, namely a package, of methods and classes for the structure-preserving discretization and simulation of multi-physics models, using the formalism of port-Hamiltonian systems.