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• W2290367280 abstract "This paper presents a generalized gossip-based algorithm to solve distributed optimization problems in multi-agent networks, especially for multiple supply-demand optimization problems. The proposed algorithm provides a generalization such that the optimization process can operate in the entire spectrum of “complete consensus” to “complete disagreement”. A user-defined control parameter θ is identified for controlling such tradeoff as well as the temporal convergence properties. Analytical results for first moment convergence analysis are presented and it is shown that with θ → 0, the formulation boils down to a classical consensus based protocol. Beyond the control parameter, the agent interaction matrix is also shown to be useful for effectively suppressing large localized uncertainties in subgradient estimation. A practical use case regarding building zone temperature control is presented as a numerical example for validation." @default.
• W2290367280 created "2016-06-24" @default.
• W2290367280 creator A5000786443 @default.
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• W2290367280 date "2015-12-01" @default.
• W2290367280 modified "2023-09-30" @default.
• W2290367280 title "On distributed optimization using generalized gossip" @default.
• W2290367280 cites W1543883624 @default.
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• W2290367280 doi "https://doi.org/10.1109/cdc.2015.7402618" @default.
• W2290367280 hasPublicationYear "2015" @default.
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