Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/136668
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Event-triggered probability-driven adaptive formation control for multiple elliptical agents
Author: Liu, Y.
Shi, P.
Yu, H.
Lim, C.C.
Citation: IEEE transactions on systems, man, and cybernetics. Systems, 2022; 52(1):645-654
Publisher: IEEE
Issue Date: 2022
ISSN: 2168-2232
2168-2232
Statement of
Responsibility: 
Yutong Liu, Peng Shi, Hongjun Yu, and Cheng-Chew Lim
Abstract: In this article, an event-triggered control scheme is proposed for a group of elliptical agents to achieve a predefined formation. The agents are assumed to have the same dynamics, and the control law for each agent is only updated at its event sequence based on its own minimum collision time and deviation time. The probability-driven controller is designed to prevent the stuck problem among agents. Mapping-adaptive strategy and angle-adaptive scheme based on the minimum collision distance are also developed. Two examples are presented to analyze and demonstrate the effectiveness and potential of the new eventtriggered adaptive control algorithm.
Keywords: Adaptive mapping scheme; event-triggered; formation control; multiple elliptical agents; rotation control
Rights: © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
DOI: 10.1109/TSMC.2020.3026029
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1109/tsmc.2020.3026029
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.