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Continuous-Time Algorithms for Distributed Optimization Problem on Directed Digraphs

  • Beihang University
  • China Aerospace Science and Technology Corporation

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

Abstract

This paper has proposed continuous-time algorithms to address a distributed optimization problem for the multi-agent system with parametric uncertainties over directed digraphs. Firstly, an virtual vector was introduced to generate reference signal. Then, a continuous-time distributed adaptive optimization algorithm with dynamic coupling gains and updating the coupling gains using relative information of system outputs and virtual vector was designed. Under this algorithm, the virtual vector can track the optimal solution asymptotically. Thirdly, an output feedback tracking protocol was designed to track the reference signal under strongly connected and directed graphs. Finally, convergence proofs were given with Lyapunov arguments and simulation results have illustrated the theoretical results.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages5772-5776
Number of pages5
ISBN (Electronic)9789887581581
DOIs
StatePublished - 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

Keywords

  • Distributed optimization
  • adaptive control
  • continuous-time
  • directed digraphs

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