Distributed Optimization for Multiply High-Order Nonlinear Local Cost Functions

Shengshuai Wu, Yu Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The distributed optimization problem of multi-agent system with multiple high-order Lipschiz-type nonlinear local cost functions is studied in this brief. The objective is for a multi-agent system to achieve the goal of minimizing team performance function formed by the sum of local performance functions where each local objective function is known to only one agent. Then a new distributed optimization algorithm is proposed, and the asymptotical convergence is guaranteed through the Lyapunov stability and optimization analysis.

Original languageEnglish
Title of host publicationProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages39-43
Number of pages5
ISBN (Electronic)9781728101057
DOIs
StatePublished - Jun 2019
Event31st Chinese Control and Decision Conference, CCDC 2019 - Nanchang, China
Duration: 3 Jun 20195 Jun 2019

Publication series

NameProceedings of the 31st Chinese Control and Decision Conference, CCDC 2019

Conference

Conference31st Chinese Control and Decision Conference, CCDC 2019
Country/TerritoryChina
CityNanchang
Period3/06/195/06/19

Keywords

  • Distributed Optimization
  • Lipschiz-type Nonlinear
  • Multi-agent System

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