Bearing‐only containment control of multi‐agent systems

遏制(计算机编程) 方位(导航) 非线性系统 控制理论(社会学) 凸壳 职位(财务) 稳定性理论 网络拓扑 计算机科学 估计员 数学优化 数学 控制(管理) 正多边形 人工智能 几何学 物理 经济 操作系统 程序设计语言 统计 量子力学 财务
作者
Mengmeng Duan,Ziwen Yang,Shanying Zhu,Cailian Chen
出处
期刊:International Journal of Robust and Nonlinear Control [Wiley]
卷期号:33 (18): 11335-11350 被引量:3
标识
DOI:10.1002/rnc.6948
摘要

Abstract Bearing‐only containment control means to achieve containment using only the bearing information, rather than the complete relative position information including both the bearing and the distance. Compared with the most existing relative position based containment control algorithms, the bearing‐only containment control algorithm is nonlinear due to the nonlinearity of the bearing, which renders the stability analysis challenging. In this article, the bearing‐only containment control problem of multi‐agent systems with dynamically changing topologies is investigated for two cases, where the leaders are stationary or dynamic. First, when the leaders are stationary, it is shown that the nonlinearity of the bearing leads to the unknown nonlinear time‐varying parameters in the system. Based on the boundedness of the nonlinear parameters and the connectivity of the switching directed sensing graphs, it is proven that all the followers converge to the stationary convex hull formed by the leaders asymptotically. Second, when the leaders are dynamic, a distributed estimator is proposed for each follower to keep a local estimate of the velocity of the leaders. Based on the optimality of the projection and the shift invariance of the normal cone, it is proven that all the followers converge to the dynamic convex hull formed by the leaders asymptotically under the conditions on the switching directed sensing and communication graphs. It is shown from the two cases that the distance information is not necessary for containment control, and containment can be achieved as long as the bearing information is provided. Numerical examples are presented to illustrate the theoretical results.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
bbihk完成签到,获得积分10
2秒前
搜集达人应助周娅敏采纳,获得10
2秒前
4秒前
852应助cjl采纳,获得10
4秒前
WZM完成签到,获得积分10
4秒前
黄耀发布了新的文献求助10
5秒前
6秒前
9秒前
思源应助怕黑沛山采纳,获得10
9秒前
10秒前
QQQQ发布了新的文献求助10
11秒前
12秒前
12秒前
Caius完成签到 ,获得积分10
13秒前
14秒前
14秒前
14秒前
15秒前
好卉发布了新的文献求助10
15秒前
15秒前
小凌完成签到 ,获得积分10
15秒前
斯文败类应助IchenNG采纳,获得10
15秒前
伶俐绿柏完成签到,获得积分10
16秒前
天使发布了新的文献求助10
16秒前
DC-CIK军团完成签到 ,获得积分10
16秒前
顺心含蕾完成签到,获得积分10
17秒前
yurihuang发布了新的文献求助10
18秒前
zcaw完成签到,获得积分10
18秒前
bingbing发布了新的文献求助30
18秒前
Parker发布了新的文献求助10
18秒前
黄耀完成签到,获得积分10
18秒前
Hotdog发布了新的文献求助10
18秒前
Kao应助如歌采纳,获得10
19秒前
魏冉发布了新的文献求助10
19秒前
CipherSage应助干净的琦采纳,获得10
20秒前
20秒前
penzer完成签到 ,获得积分10
20秒前
111发布了新的文献求助10
21秒前
ATTENTION完成签到,获得积分10
21秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774051
求助须知:如何正确求助?哪些是违规求助? 9316027
关于积分的说明 20349003
捐赠科研通 7359780
什么是DOI,文献DOI怎么找? 3317334
关于科研通互助平台的介绍 2465859
邀请新用户注册赠送积分活动 2332577