Title

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

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.

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