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.
@article{arxiv.1806.11422,
title = {Hierarchical Robust Analysis for Identified Systems in Network},
author = {Anton Korniienko and Xavier Bombois and Hakan Hjalmarsson and Gérard Scorletti},
journal= {arXiv preprint arXiv:1806.11422},
year = {2018}
}