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 · IFAC-PapersOnLine · 2023
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.