Hierarchical Robust Analysis for Identified Systems in Network

Anton Korniienko (1) , Xavier Bombois (1) , Håkan Hjalmarsson (2) , Gérard Scorletti (1)

1 MIS - Ampère, Département Méthodes pour l'Ingénierie des Systèmes
2 KTH - KTH Royal Institute of Technology [Stockholm]

This technical report considers worst-case robustness analysis of a network of locally controlled uncertain systems with uncertain parameter vectors belonging to the ellipsoid sets found by identification procedures. In order to deal with computational complexity of large-scale systems, an hierarchical robustness analysis approach is adapted to these uncertain parameter vectors thus addressing the trade-off between the computation time and the conservatism of the obtained result.

Domaines: Automatique / Robotique

Anton Korniienko, Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti. Hierarchical Robust Analysis for Identified Systems in Network. [Research Report] Laboratoire Ampère; KTH Royal institute of technology; Ecole Centrale Lyon; Université de Lyon. 2017. ⟨hal-01823875⟩