Robust Distributed Model Predictive Control Based Consensus of General Linear Multi-agent Systems

被引：0
|
作者：
Zhan, Jingyuan [1 ]
Chen, Yangzhou [1 ]
Aleksandrov, Alexander [2 ]
Li, Xiang [3 ,4 ]
机构：
[1] Beijing Univ Technol, Coll Metropolitan Transportat, Beijing Key Lab Transportat Engn, Beijing 100124, Peoples R China
[2] St Petersburg State Univ, St Petersburg, Russia
[3] Fudan Univ, Sch Informat Sci & Engn, Adapt Networks & Control Lab, Shanghai 200433, Peoples R China
[4] Fudan Univ, Sch Informat Sci & Engn, Res Ctr Smart Networks & Syst, Shanghai 200433, Peoples R China
来源：
2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2019年
基金：
中国国家自然科学基金; 俄罗斯基础研究基金会; 北京市自然科学基金;
关键词：
Robust consensus; Multi-agent system; Distributed model predictive control; disturbance; RECEDING HORIZON CONTROL; AGENTS;
D O I：
暂无
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 paper investigates the robust distributed model predictive control (DMPC) based consensus problem of general linear discrete-time multi-agent systems subject to external disturbances. We first propose a robust DMPC based consensus algorithm, mainly relying on the DMPC based consensus of a nominal system whose state deviation from the actual state is bounded by an invariant set. We then prove the feasibility and robust consensus of the proposed algorithm. Finally, we present a numerical example to verify the theoretical results.
引用
收藏
页数：5
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