Výsledky vyhledávání - "Distributed optimization algorithms"

Adaptive distributed optimization algorithms for Euler–Lagrange systems Autor Zou, Yao, Meng, Ziyang, Hong, Yiguang

“…–Lagrange (EL) systems subject to unavailable inertial parameters. A local cost function is assigned to each agent and the sum of all the local cost functions is considered as the global one…”
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Velocity-Free Distributed Optimization Algorithms for Second-Order Multiagent Systems Autor Zou, Yao, Huang, Yi, Xia, Kewei, Huang, Bomin, Dong, Xiaofei, Meng, Ziyang

“… To cooperatively deal with the optimization problem for second-order multiagent systems in the absence of velocity information, we design two velocity-free distributed optimization algorithms…”
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Distributed Optimization Algorithms for Networked Systems Autor Chatzipanagiotis, Nikolaos

“…Distributed optimization methods allow us to decompose an optimization problem into smaller, more manageable subproblems that are solved in parallel. For this…”
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Distributed Optimization: Algorithms and Convergence Rates Autor Jakovetic, Dusan

“…This thesis develops and analyzes distributed algorithms for convex optimization in networks, when nodes cooperatively minimize the sum of their locally known costs subject to a global variable of common interest…”
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Practical Implementation Issues of Lagrangian Based Distributed Optimization Algorithms Autor Bertin, Rémi, Coucheney, P, Legrand, A, Touati, C

“… aims at maximizing some global function of the users individual throughput subject to link capacity constraints…”
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A distributed optimization algorithm with guaranteed optimality subject to lossy information-sharing over directed networks Autor Liu, Shuai, Wang, Dong, Chen, Mingfei

“…This paper addresses the distributed optimization problem subject to lossy information-sharing…”
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A Specified-Time Distributed Optimization Algorithm for Multi-Agent Systems With Time-Varying Constraints Autor Zheng, Yanling, Cenedese, Carlo, Cucuzzella, Michele, Liu, Qingshan

“…In this paper, a class of distributed optimization problems for multi-agent systems subject to time-varying coupling equality constraint is investigated…”
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Distributed Algorithm Over Time-Varying Unbalanced Graphs for Optimization Problem Subject to Multiple Local Constraints Autor Liu, Hongzhe, Yu, Wenwu, Wen, Guanghui, Zheng, Wei Xing

“…This article addresses the optimization problem with its global objective function being composed of multiple convex functions under multiple nonidentical…”
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Resilient Distributed Optimization With Event‐Triggered Interaction Design for Multiagent Systems Under False Data Injection Attacks Autor Wan, Ying, Lu, Xiao, Shi, Xinli, Jürgen, Kurths, Cao, Jinde

“…ABSTRACT This article explores a novel design of a resilient interaction algorithm for multiagent systems (MAS) based on an event‐triggered mechanism, focusing…”
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Distributed Feedback Optimization of Nonlinear Uncertain Systems Subject to Inequality Constraints Autor Qin, Zhengyan, Liu, Tengfei, Liu, Tao, Jiang, Zhong-Ping, Chai, Tianyou

“… A new class of distributed optimization algorithms is proposed by extending the standard primal-dual dynamics and introducing two new inputs to deal with the couplings arising from feedback optimization…”
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Scalable Design of Heterogeneous Networks Autor Pates, Richard, Vinnicombe, Glenn

“… optimization algorithms subject to delays…”
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A Fenchel dual gradient method enabling regularization for nonsmooth distributed optimization over time-varying networks Autor Wu, Xuyang, Sou, Kin Cheong, Lu, Jie

“… Different from most existing distributed optimization algorithms that also cope with time-varying networks, RFDGM is able to handle problems with general convex objective functions and distinct local…”
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A Distributed and Robust Security-Constrained Economic Dispatch Algorithm Based on Blockchain Autor Chen, Sijie, Zhang, Ling, Yan, Zheng, Shen, Zeyu

“…Distributed optimization algorithms for security-constrained economic dispatch (SCED) problems have been the subject of significant research interest in recent years…”
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Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization Autor Zhao, Shengchao, Chen, Xing-Min, Liu, Yongchao

“…Considering the constrained stochastic optimization problem over a time-varying random network, where the agents are to collectively minimize a sum of objective functions subject to a common…”
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Multi-Agent System Based Distributed Pattern Search Algorithm for Non-Convex Economic Load Dispatch in Smart Grid Autor Li, Fangyuan, Qin, Jiahu, Kang, Yu

“…Since generation units usually subject to valve point effects and there is a trend of ever-growing number of distributed energy sources, distributed optimization algorithms for non-convex economic…”
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D-SVM over networked systems with non-ideal linking conditions Autor Doostmohammadian, Mohammadreza, Aghasi, Alireza, Zarrabi, Houman

“…This paper considers distributed optimization algorithms, with application in binary classification via distributed support vector machines (D-SVM…”
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Nonsmooth Resource Allocation of Multiagent Systems With Disturbances: A Proximal Approach Autor Zhu, Yanan, Wen, Guanghui, Yu, Wenwu, Yu, Xinghuo

“… These two distinguished features render the existing distributed optimization algorithms, especially the subgradient-based algorithms inapplicable due to the employment of discontinuity of subgradients…”
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Theory and Methods for Stochastic, Accelerated, and Distributed Optimization Autor Can, Bugra

“…This thesis consists of two parts.Part I (Chapters 1–3) concerns momentum-based first-order optimization algorithms for stochastic optimization where we have…”
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Control and Optimization Over Large-Scale Networks Autor Lima Silva, Vinicius

“…The future of the Internet of Things (IoT) envisions very large networks of spatially distributed devices cooperating to solve common tasks in both industrial…”
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Control Theory-Inspired Acceleration of the Gradient-Descent Method: Centralized and Distributed Autor Chakrabarti, Kushal

“… Restrictions such as industrial competition, administrative regulations, and user privacy have motivated significant research on distributed optimization algorithms for solving such data-driven modeling problems…”
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