Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACCESS.2019.2898974
DC FieldValue
dc.titleDistributed adaptive affine formation control for heterogeneous linear networked systems
dc.contributor.authorXu, Y.
dc.contributor.authorLuo, D.
dc.contributor.authorYou, Y.
dc.contributor.authorDuan, H.
dc.date.accessioned2021-12-29T05:47:47Z
dc.date.available2021-12-29T05:47:47Z
dc.date.issued2019
dc.identifier.citationXu, Y., Luo, D., You, Y., Duan, H. (2019). Distributed adaptive affine formation control for heterogeneous linear networked systems. IEEE Access 7 : 23354-23364. ScholarBank@NUS Repository. https://doi.org/10.1109/ACCESS.2019.2898974
dc.identifier.issn2169-3536
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/212510
dc.description.abstractThis paper addresses the distributed adaptive affine formation protocol design problem for the heterogeneous leader-follower-type linear networked systems, in which the interaction graph is directed. Compared with the existing methods, the affine formation control has the superiority to tackle the motion constraints of the target formation based on the affine transformation in the arbitrary dimensional space. This transformation has the property of acting as a linear transformation, and the complexity of formation controllers can be reduced. Only the partial information of the graph can be acquired by the agents, and the adaptive algorithms are adopted to find the corresponding bounds of the control gains. By introducing the additive functions for both proportional and integral terms, a distributed adaptive proportional-integral-type control algorithm of achieving the affine formation is presented. This distributed control scheme can eliminate the steady-state errors based only on the relative states of neighboring agents. The corresponding numerical simulations are carried out to verify the theoretical results; numerous types of formation patterns can be obtained. © 2013 IEEE.
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus OA2019
dc.subjectadaptive algorithms
dc.subjectAffine formation control
dc.subjectdirected graph
dc.subjectheterogeneous multi-agent systems
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.1109/ACCESS.2019.2898974
dc.description.sourcetitleIEEE Access
dc.description.volume7
dc.description.page23354-23364
dc.published.statePublished
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