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

被引：63

作者：

Gao, Weinan ^{[1
]}

Jiang, Yu ^{[2
]}

Davari, Masoud ^{[1
]}

机构：

[1] Georgia Southern Univ, Allen E Paulson Coll Engn & Comp, Dept Elect & Comp Engn, Statesboro, GA 30460 USA

[2] ClearMotion Inc, Dept RoadMot, Woburn, MA 01801 USA

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2019年 / 66卷 / 03期

关键词：

Robust adaptive dynamic programming; cooperative output regulation; multi-agent systems; cyclic-small-gain;

D O I：

10.1109/TCSII.2018.2849639

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：447 / 451

页数：5

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