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https://hdl.handle.net/2440/134022
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dc.contributor.author | Yan, B. | - |
dc.contributor.author | Shi, P. | - |
dc.contributor.author | Lim, C.C. | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | IEEE Transactions on Automation Science and Engineering, 2022; 19(4):2788-2800 | - |
dc.identifier.issn | 1042-296X | - |
dc.identifier.issn | 1558-3783 | - |
dc.identifier.uri | https://hdl.handle.net/2440/134022 | - |
dc.description | Date of Publication: 23 August 2021; date of current version 13 October 2022. | - |
dc.description.abstract | In this article, a distributed adaptive event-triggered formation control strategy is proposed for unified nonlinear heterogeneous multiagent systems under uncertainties and disturbances to achieve time-varying formations. To reduce the frequency of data transmission, a distributed dual adaptive observer with an event-triggered strategy is developed to estimate the states of a reference exosystem. Without incurring prior global information about a communication graph, a novel robust formation controller, with dynamic distributed compensators for uncertainties and disturbances, is designed based on an observer result and a nonlinear internal control principle. Finally, both simulation and experiment are conducted for tracking and patrolling formation to verify the effectiveness of the proposed formation control strategy and its robustness. | - |
dc.description.statementofresponsibility | Bing Yan, Peng Shi, Cheng-Chew Lim | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers | - |
dc.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. | - |
dc.source.uri | http://dx.doi.org/10.1109/tase.2021.3103877 | - |
dc.subject | Adaptive observer; event-triggered strategy; heterogeneous nonlinear multiagent systems (MASs); robust formation control. | - |
dc.title | Robust Formation Control for Nonlinear Heterogeneous Multi-agent Systems based on Adaptive Event-triggered Strategy | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1109/TASE.2021.3103877 | - |
dc.relation.grant | http://purl.org/au-research/grants/arc/DP170102644 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Yan, B. [0000-0003-3945-3069] | - |
dc.identifier.orcid | Shi, P. [0000-0001-8218-586X] | - |
dc.identifier.orcid | Lim, C.C. [0000-0002-2463-9760] | - |
Appears in Collections: | Electrical and Electronic Engineering publications |
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