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

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 syste...

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Bibliographic Details
Published in:IFAC-PapersOnLine 2023-01, Vol.56 (2), p.10216-10221
Main Authors: Huidobro, Cristóbal, Vargas, Francisco J., Peters, Andrés A., Valenzuela, Patricio E.
Format: Article
Language:English
Subjects:
Cooperative system identification
integral action
multi-agent systems
prediction error method
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Summary: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.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2023.10.900