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Titlebook: Distributed Optimization, Game and Learning Algorithms; Theory and Applicati Huiwei Wang,Huaqing Li,Bo Zhou Book 2021 The Editor(s) (if app

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發(fā)表于 2025-3-21 18:32:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Distributed Optimization, Game and Learning Algorithms
副標(biāo)題Theory and Applicati
編輯Huiwei Wang,Huaqing Li,Bo Zhou
視頻videohttp://file.papertrans.cn/282/281932/281932.mp4
概述Is the first professional book on the fusion of the distributed optimization, game, and learning theory and applications in smart grids.Introduces the latest distributed optimization, game, and learni
圖書(shū)封面Titlebook: Distributed Optimization, Game and Learning Algorithms; Theory and Applicati Huiwei Wang,Huaqing Li,Bo Zhou Book 2021 The Editor(s) (if app
描述This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids..
出版日期Book 2021
關(guān)鍵詞Distributed Optimization; Game Theory; Learning Algorithms; Smart Grid Systems; Time-varying Topology
版次1
doihttps://doi.org/10.1007/978-981-33-4528-7
isbn_softcover978-981-33-4530-0
isbn_ebook978-981-33-4528-7
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Constrained Consensus of Multi-agent Systems with Time-Varying Topology,a closed convex constraint set. The communication graphs of this asynchronous system are assumed to be directed, unbalanced, dynamically changing. In addition, their union graph is assumed to be strongly connected within a certain interval of finite length. To deal with the asynchronous communicatio
板凳
發(fā)表于 2025-3-22 01:30:05 | 只看該作者
Distributed Optimization Under Inequality Constraints and Random Projections,nction that is the sum of local convex objective functions, subject to global convex inequality constraints and several randomly occurring local convex state constraint sets. A distributed primal-dual random projection subgradient (DPDRPS) algorithm with diminishing stepsize using local communicatio
地板
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Linear Convergence for Constrained Optimization Over Time-Varying Digraphs, of all local convex objective functions. Each agent in the network possesses only its private local convex objective function and is constrained to a coupling equality constraint and its local inequality constraint. Moreover, we particularly focus on the scenario where each agent is only allowed to
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發(fā)表于 2025-3-22 15:35:05 | 只看該作者
Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs,eting total demands and complying with individual generator output constraints. This chapter proposes a distributed optimization algorithm with noisy gradient based on stochastic gradient-push approach to solve the EDP on time-varying directed communication networks potentially with time delays. It
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發(fā)表于 2025-3-23 04:00:28 | 只看該作者
Reinforcement Learning for PHEV Route Choice Based on Congestion Game,ybrid Electric Vehicles) in traffic/charging networks, who aims to seek the optimal travel route that minimizes the individual travel time. The optimal route choice strategy is presented by the Nash equilibrium of the congestion game. By constructing a novel potential function, the congestion game i
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發(fā)表于 2025-3-23 07:42:14 | 只看該作者
Constrained Consensus of Multi-agent Systems with Time-Varying Topology,arts of the newly constructed system converge and the nonlinear parts vanish over time. Finally, two numerical examples are provided to show the effectiveness of the method and the correctness of theoretical analysis.
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