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 ACCESS Linnaeus Center and Department of Automatic Control

This paper 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 result.

Mots clés: Identification for Control; Network; Multi-Agents; Interconnected systems

Domaines: Automatique / Robotique

Anton Korniienko, Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti. Hierarchical Robust Analysis for Identified Systems in Network. 9th IFAC ROCOND'18, Sep 2018, Florianópolis, Brazil. pp.383-389, ⟨10.1016/j.ifacol.2018.11.137⟩. ⟨hal-01984244⟩