CONSENSUS TRACKING ITERATIVE LEARNING CONTROL OF SECOND-ORDER MULTI-AGENT SYSTEMS

被引：0
|
作者：
Lu, Tiantian [1 ]
Fan, Yingsheng [1 ]
Han, Yishi [1 ]
Chen, Huiyun [1 ]
LI, Guojun [1 ]
机构：
[1] Zhejiang Police Coll, Basic Courses Dep, Hangzhou 310053, Peoples R China
来源：
PROCEEDINGS OF THE ROMANIAN ACADEMY SERIES A-MATHEMATICS PHYSICS TECHNICAL SCIENCES INFORMATION SCIENCE | 2023年 / 24卷 / 01期
关键词：
initial rectifying; iterative learning control; multi-agent systems; nonparametric uncertainties; AGENTS;
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, the problem of consensus tracking control for a class of second-order leader-following nonparametric uncertain multi-agent systems, which perform a given repetitive task over a finite interval with arbitrary initial error. By means of learning control and initial shift rectifying, a first-order attractor control algorithm is presented.In the tracking process, the proposed algorithm simultaneously rectifies all the initial state shifts, and after enough iterations, the all following multi-agents' states perfectly track the leader's state in the preset time interval. Finally, simulation results demonstrate the effectiveness of the learning control algorithm.
引用
收藏
页码：81 / 93
页数：13
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