arrow
Return

Prescribed-time containment control based on distributed observer for multi-agent systems

delete2021-03-01
delete34
PRE
AI
Q
Qiong Lin
Y
Yingjiang Zhou *
G
Guo‐Ping Jiang
S
Sheng-Yu Ge
S
Shuai Ye
DOI:10.1016/j.neucom.2020.12.030delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The prescribed-time containment control problem for second-order multi-agent systems with multiple leaders is studied in this paper. The control objective is that all the followers are able to enter the convex hull formed by leaders at any preassigned time. Suppose that only a few followers can obtain the information of leaders, we design the distributed observer to estimate the information of the convex hull spanned by leaders firstly. Furthermore, the prescribed-time containment controller is designed with the estimation of the distributed observer. Based on a nonlinear scaling function, the tracking process is divided into four stages. The results imply that the tracking error between the followers and the convex hull could converge to zero within prescribed time. Finally, two numerical examples illustrate the effectiveness of the proposed algorithm. (C) 2020 Elsevier B.V. All rights reserved.
Keywords:
Multi-agent systems
Prescribed-time control
Distributed observer
Containment control
Second-order systems
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

No organization information available