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2015
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On distributed optimization using generalized gossip

7 years 11 months ago
On distributed optimization using generalized gossip
— This paper presents a generalized gossip-based algorithm to solve distributed optimization problems in multiagent 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.
Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee
Added 18 Apr 2016
Updated 18 Apr 2016
Type Journal
Year 2015
Where CDC
Authors Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee
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