Hierarchical Robust Analysis for Identified Systems in Network - Archive ouverte HAL
Rapport (Rapport De Recherche) Année : 2017

Hierarchical Robust Analysis for Identified Systems in Network

Résumé

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.
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Dates et versions

hal-01823875 , version 1 (26-06-2018)

Identifiants

  • HAL Id : hal-01823875 , version 1

Citer

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⟩
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