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

页码：81 / 93

页数：13

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