Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming

Authors

Weinan Gao, Georgia Southern UniversityFollow
Yu Jiang, Clearmotion, Inc.
Masoud Davari, Georgia Southern UniversityFollow

Document Type

Article

Publication Date

6-21-2018

Publication Title

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI

10.1109/TCSII.2018.2849639

ISSN

1558-3791

Abstract

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.

Recommended Citation

Gao, Weinan, Yu Jiang, Masoud Davari. 2018. "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: IEEE Xplore. doi: 10.1109/TCSII.2018.2849639
https://digitalcommons.georgiasouthern.edu/electrical-eng-facpubs/128