書誌事項
- タイトル別名
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- Unconstrained Convex Optimization by Distributed Event-Driven Subgradient Algorithm based on Consensus Control
- ゴウイ セイギョ ニ モトズク ブンサン ジショウ クドウガタレツコウバイ アルゴリズム ニ ヨル セイヤク ナシ トツサイテキカ
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<p>This paper considers a distributed unconstrained optimization problem where each agent has a local convex cost function and the sum of these functions is defined as a global cost function. We propose an event-driven subgradient algorithm based on consensus control to minimize the global cost function. Each agent has an estimate of the optimal solution as a state. In the proposed algorithm, each agent sends its state to the neighbor agents only at trigger-times when the error of its state exceeds a threshold. We show that the error between the estimate of the global cost function of the agents given by the proposed event-driven algorithm and the optimal cost is upper bounded. The simulation results show that the convergence speed by the proposed event-driven algorithm improves and the number of trigger-times can be reduced compared with the existing subgradient methods.</p>
収録刊行物
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- システム制御情報学会論文誌
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システム制御情報学会論文誌 30 (6), 253-262, 2017
一般社団法人 システム制御情報学会
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詳細情報 詳細情報について
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- CRID
- 1390282680143910272
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- NII論文ID
- 130006078711
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- NII書誌ID
- AN1013280X
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- ISSN
- 2185811X
- 13425668
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- NDL書誌ID
- 028285619
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可