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Recently, distributed optimization for multi-agent systems has been an interesting topic and attracted more and more attention due to its wide range of applications such as smart grids, sensor networks and mobile manipulators (see Chen and Kai 2018; Fang et al. 2018). In distributed optimization, the objective is to optimize the global cost function composed of the sum of all local cost functions, each of which is only known by its own local agent.

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Distributed Convex Nonsmooth Optimization for Multi-agent System Based on Proximal Operator

  • 章节

  • 发表日期：

    2025年

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  • Qing Wang,
  • Bin Xin,
  • Jie Chen

摘要

Recently, distributed optimization for multi-agent systems has been an interesting topic and attracted more and more attention due to its wide range of applications such as smart grids, sensor networks and mobile manipulators (see Chen and Kai 2018; Fang et al. 2018). In distributed optimization, the objective is to optimize the global cost function composed of the sum of all local cost functions, each of which is only known by its own local agent.