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https://hdl.handle.net/2440/136668
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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 |
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