Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/134019
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Type: Journal article
Title: Robust Formation Control for Multi-agent Systems Based on Adaptive Observers
Author: Yan, B.
Shi, P.
Lim, C.C.
Wu, C.
Citation: IEEE Systems Journal, 2022; 16(2):3139-3150
Publisher: Institute of Electrical and Electronics Engineers
Issue Date: 2022
ISSN: 1932-8184
1937-9234
Statement of
Responsibility: 
Bing Yan, Peng Shi, Cheng-Chew Lim
Abstract: In this article, a distributed robust control strategy is proposed for heterogeneous multiagent systems subject to uncertainties and disturbances to achieve time-varying formations under static and switching topologies. Without prior knowledge of global information on communication graphs, a distributed observer is developed to estimate the state information of a reference system. Internal model-based robust formation controllers for homogeneous disturbances, with and without unknown heterogeneous disturbances, are designed using the Riccati equation approach. Finally, a case study of bushfire edge tracking and patrolling is presented, and the effectiveness and robustness of the formation control developed strategy are verified by simulations.
Keywords: Adaptive observers; heterogeneous multiagent systems; robust formation control; uncertainties and disturbances
Description: Published online 2 December 2021
Rights: © 2021 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/JSYST.2021.3127579
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1109/jsyst.2021.3127579
Appears in Collections:Electrical and Electronic Engineering publications

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