Article
Data-Driven Cooperative Output Regulation of Multi- Agent Systems via Robust Adaptive Dynamic Programming
IEEE Transactions on Circuits and Systems II: Express Briefs
Document Type
Article
Publication Date
6-21-2018
DOI
10.1109/TCSII.2018.2849639
Disciplines
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.
Citation Information
Weinan Gao, Yu Jiang and 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 Vol. 66 Iss. 3 (2018) p. 447 - 451 ISSN: 1558-3791 Available at: http://works.bepress.com/masoud-davari/33/