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A distributed dynamical solver for an optimal resource allocation problem over networked systems

机译:用于网络系统上最优资源分配问题的分布式动态求解器

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In this paper, we consider an optimal resource allocation problem over networked systems where the global cost function is a sum of local convex cost functions of the agents. This optimization problem is subject to an affine equality constraint which represents the demand that the agents should meet through weighted contribution of their cost variables. We propose a novel distributed continuous-time algorithm that solves the problem over networks with connected graph communication topology. We also present an extension of our algorithm to solve allocation problems subject to multiple affine constraints. We demonstrate our results through a numerical example.
机译:在本文中,我们考虑了网络系统上的最优资源分配问题,其中全局成本函数是代理的局部凸成本函数之和。该优化问题受到仿射相等约束的约束,该约束表示代理应通过其成本变量的加权贡献来满足的需求。我们提出了一种新颖的分布式连续时间算法,该算法解决了具有连通图通信拓扑的网络问题。我们还提出了我们算法的扩展,以解决受多个仿射约束约束的分配问题。我们通过一个数值示例来证明我们的结果。

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