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. © © 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/)