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
收藏
页码：447 / 451
页数：5
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