Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming
IEEE Transactions on Circuits and Systems II: Express Briefs
This brief studies the cooperative output regulation problems of multi-agent systems with parametric and dynamic uncertainties. By means of robust adaptive dynamic programming, a model-free distributed controller is developed via online input and state data. The cyclic-small-gain theorem is applied to ensure the asymptotic stability of the closed-loop system and thus solves the cooperative output regulation problem. Each follower is able to achieve asymptotic tracking and non-vanishing disturbance rejection. A numerical example is utilized to illustrate the effectiveness of the proposed algorithm.
Gao, Weinan, Yu Jiang, Masoud Davari.
"Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming."
IEEE Transactions on Circuits and Systems II: Express Briefs, 66 (3): 447-451.