@inproceedings{eee024fc2af7484cbe2e3572fb830a39,
title = "Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework",
abstract = "This article addresses the parameter inference problem on dynamical systems in a cooperative setting. The dynamical systems contain integral action, which is of practical interest within cyber-physical systems. Given this dynamical characteristic of the problem, existing statistical results on system identification are not straightforwardly applicable and hence adaptations are required. To this end, a formulation of the problem is presented and results highlighting the challenges of the given setup are discussed. Insights from a two-agent framework are used to formulate results and the next research steps on the topic, where the benefit of performing open-loop identification on the variance of the parameter is highlighted and bias issues are discussed.",
keywords = "Cooperative system identification, integral action, multi-agent systems, prediction error method",
author = "Crist{\'o}bal Huidobro and Vargas, {Francisco J.} and Peters, {Andr{\'e}s A.} and Valenzuela, {Patricio E.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/); 22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",
year = "2023",
month = jul,
day = "1",
doi = "10.1016/j.ifacol.2023.10.900",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "Elsevier B.V.",
number = "2",
pages = "10216--10221",
editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",
booktitle = "IFAC-PapersOnLine",
edition = "2",
}