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首页> 外文期刊>IEEE Transactions on Automatic Control >Distributed Subgradient Projection Algorithm Over Directed Graphs
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Distributed Subgradient Projection Algorithm Over Directed Graphs

机译:有向图的分布式次梯度投影算法

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摘要

We propose Directed-Distributed Projected Subgradient (D-DPS) to solve a constrained optimization problem over a multi-agent network, where the goal of agents is to collectively minimize the sum of locally known convex functions. Each agent in the network owns only its local objective function, constrained to a commonly known convex set. We focus on the circumstance when communications between agents are described by a directed network. The D-DPS combines surplus consensus to overcome the asymmetry caused by the directed communication network. The analysis shows the convergence rate to be .
机译:我们提出了有向分布投影次梯度(D-DPS),以解决多智能体网络上的约束优化问题,其中智能体的目标是共同最小化局部已知凸函数的总和。网络中的每个主体仅拥有其局部目标函数,并受限于一个众所周知的凸集。我们将重点放在有向网络描述代理之间的通信的情况下。 D-DPS结合了多余的共识,以克服定向通信网络引起的不对称性。分析表明收敛速度为。

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