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dc.contributor.authorLee, Jinen
dc.contributor.authorBerger, Ten
dc.contributor.authorTrenn, Sen
dc.contributor.authorShim, Hen
dc.date.accessioned2020-10-22T15:28:06Z
dc.date.available2020-10-22T15:28:06Z
dc.date.issued2020-05-01en
dc.identifier.isbn9783907144015en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/311816
dc.description.abstractA new approach to distributed consensus optimization is studied in this paper. The cost function to be minimized is a sum of local cost functions which are not necessarily convex as long as their sum is convex. This benefit is obtained from a recent observation that, with a large gain in the diffusive coupling, heterogeneous multi-agent systems behave like a single dynamical system whose vector field is simply the average of all agents' vector fields. However, design of the large coupling gain requires global information such as network structure and individual agent dynamics. In this paper, we employ a nonlinear time-varying coupling of diffusive type, which we call 'edge-wise funnel coupling.' This idea is borrowed from adaptive control, which enables decentralized design of distributed optimizers without knowledge of global information. Remarkably, without a common internal model, each agent achieves asymptotic consensus to the optimal solution of the global cost. We illustrate this result by a network that asymptotically finds the least-squares solution of a linear equation in a distributed manner.
dc.rightsAll rights reserved
dc.titleUtility of Edge-wise Funnel Coupling for Asymptotically Solving Distributed Consensus Optimizationen
dc.typeConference Object
prism.endingPage916
prism.publicationDate2020en
prism.publicationNameEuropean Control Conference 2020, ECC 2020en
prism.startingPage911
dc.identifier.doi10.17863/CAM.58907
dcterms.dateAccepted2020-01-16en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-05-01en
dc.contributor.orcidLee, Jin [0000-0001-7790-2406]
rioxxterms.typeConference Paper/Proceeding/Abstracten


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