Reconstructing initial data using observers : error analysis of the semi-discrete and fully discrete approximations

Ghislain Haine (1, 2) , Karim Ramdani (1, 2)

1 IECN - Institut Élie Cartan de Nancy
2 CORIDA - Robust control of infinite dimensional systems and applications

A new iterative algorithm for solving initial data inverse problems from partial observations has been recently proposed in Ramdani, Tucsnak and Weiss [15]. Based on the concept of observers (also called Luenberger observers), this algorithm covers a large class of abstract evolution PDE's. In this paper, we are concerned with the convergence analysis of this algorithm. More precisely, we provide a complete numerical analysis for semi-discrete (in space) and fully discrete approximations derived using finite elements in space and finite differences in time. The analysis is carried out for abstract Schrödinger and wave conservative systems with bounded observation (locally distributed).

Domaines: Analyse numérique [math.NA]; Equations aux dérivées partielles [math.AP]; Optimisation et contrôle [math.OC]

Ghislain Haine, Karim Ramdani. Reconstructing initial data using observers : error analysis of the semi-discrete and fully discrete approximations. 2010. ⟨hal-00512824⟩