Distributed Control of Multiple Autonomous Underwater Vehicles with Optimal Energy Cost

被引：0
|
作者：
Zhang, Zhuo [1 ]
Chen, Pei [1 ]
Li, Huiping [1 ]
Zhang, Feihu [1 ]
机构：
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Shaanxi, Peoples R China
来源：
2019 IEEE 28TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2019年
基金：
中国国家自然科学基金;
关键词：
Optimal control; autonomous underwater vehicles (AUVs); distributed control; fuzzy approach; MULTIAGENT SYSTEMS; CONSENSUS; SYNCHRONIZATION; NETWORKS; OBSERVER; TRACKING; DESIGN;
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 article studies the distributed optimal control problem of multiple autonomous underwater vehicles (AUVs). The fuzzy approach is utilized to model the nonlinear dynamics of AUVs, and a distributed control protocol is presented to guarantee the consensus of multiple AUVs. Moreover, the optimization of cost function is achieved using the linear quadratic regulator (LQR) approach. A numerical example is reported to demonstrate the efficiency and improved performance of the presented protocol.
引用
收藏
页码：1233 / 1238
页数：6
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