Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework

Cristóbal Huidobro; Francisco J. Vargas; Andrés A. Peters; Patricio E. Valenzuela

doi:10.1016/j.ifacol.2023.10.900

Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework

Cristóbal Huidobro
, Francisco J. Vargas
, Andrés A. Peters
, Patricio E. Valenzuela

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	IFAC-PapersOnLine
Editors	Hideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
Publisher	Elsevier B.V.
Pages	10216-10221
Number of pages	6
Edition	2
ISBN (Electronic)	9781713872344
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.900
State	Published - 1 Jul 2023
Externally published	Yes
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 9 Jul 2023 → 14 Jul 2023

Publication series

Name	IFAC-PapersOnLine
Number	2
Volume	56
ISSN (Electronic)	2405-8963

Conference

Conference	22nd IFAC World Congress
Country/Territory	Japan
City	Yokohama
Period	9/07/23 → 14/07/23

Keywords

Cooperative system identification
integral action
multi-agent systems
prediction error method

Access to Document

10.1016/j.ifacol.2023.10.900

Cite this

Huidobro, C., Vargas, F. J., Peters, A. A., & Valenzuela, P. E. (2023). Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework. In H. Ishii, Y. Ebihara, J. Imura, & M. Yamakita (Eds.), IFAC-PapersOnLine (2 ed., pp. 10216-10221). (IFAC-PapersOnLine; Vol. 56, No. 2). Elsevier B.V.. https://doi.org/10.1016/j.ifacol.2023.10.900

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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",

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language = "English",

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publisher = "Elsevier B.V.",

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Huidobro, C, Vargas, FJ, Peters, AA & Valenzuela, PE 2023, Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework. in H Ishii, Y Ebihara, J Imura & M Yamakita (eds), IFAC-PapersOnLine. 2 edn, IFAC-PapersOnLine, no. 2, vol. 56, Elsevier B.V., pp. 10216-10221, 22nd IFAC World Congress, Yokohama, Japan, 9/07/23. https://doi.org/10.1016/j.ifacol.2023.10.900

Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework. / Huidobro, Cristóbal; Vargas, Francisco J.; Peters, Andrés A. et al.
IFAC-PapersOnLine. ed. / Hideaki Ishii; Yoshio Ebihara; Jun-ichi Imura; Masaki Yamakita. 2. ed. Elsevier B.V., 2023. p. 10216-10221 (IFAC-PapersOnLine; Vol. 56, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - prediction error method

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Cooperative Identification of Multi-Agent Systems in Presence of Integral Action: Insights from a Two-Agent Framework

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Keywords

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