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dc.contributor.authorFang, Xuen_US
dc.contributor.authorXie, Lihuaen_US
dc.contributor.authorLi, Xiaoleien_US
dc.identifier.citationFang, X., Xie, L. & Li, X. (2023). Distributed localization in dynamic networks via complex laplacian. Automatica, 151, 110915-.
dc.description.abstractDifferent from most existing distributed localization approaches in static networks where the agents in a network are static, this paper addresses the distributed localization problem in dynamic networks where the positions of the agents are time-varying. Firstly, complex constraints for the positions of the agents are constructed based on local relative position (distance and local bearing) measurements. Secondly, both algebraic condition and graph condition of network localizability in dynamic networks are given. Thirdly, a distributed localization protocol is proposed such that all the agents can cooperatively find their positions by solving the complex constraints in dynamic networks. Fourthly, the proposed method is extended to address the problem of integrated distributed localization and formation control. It is worth mentioning that the proposed algorithm can also be applied in the case that only distance and sign of direction measurements are available, where the sign of direction measurement is a kind of one bit local relative measurement and has less information than local bearing.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.rights© 2023 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleDistributed localization in dynamic networks via complex laplacianen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.subject.keywordsDistributed Localizationen_US
dc.subject.keywordsLocal Coordinate Frameen_US
dc.description.acknowledgementThis work was supported by Nanyang Technological University (Singapore) under the Wallenberg-NTU Presidential Postdoctoral Fellowship and Projects of Major International (Regional) Joint Research Program under NSFC (China) Grant no. 61720106011 and 62103352.en_US
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