Skip to main navigation Skip to search Skip to main content

Proximal Gradient Algorithm for Optimal formation Control of Continuous-Time Multi-Agent Systems

  • Beihang University

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

Abstract

A distributed proximal gradient algorithm is proposed in this paper to solve the linear quadratic formation control problem of continuous-time multi-agent systems. Similar to [1], an auxiliary variable is introduced to describe the reference point of formation, which is one of the optimization objectives, and a nonseparable multi-objective optimization problem is formulated. Applying the alternating proximal gradient method of multipliers, the solution to optimal formation control problem is turned into dealing with one simple optimal tracking control problem and two matrix algebraic operation steps alternatively, which saves a lot of computation resources. Numerical examples of homogenous systems, heterogeneous systems and wheeled vehicles are provided to demonstrate the efficiency of the proposed algorithm.

Original languageEnglish
Title of host publication2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages597-602
Number of pages6
ISBN (Electronic)9781728162461
DOIs
StatePublished - 13 Nov 2020
Event7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020 - Guangzhou, China
Duration: 13 Nov 202015 Nov 2020

Publication series

Name2020 7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020

Conference

Conference7th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2020
Country/TerritoryChina
CityGuangzhou
Period13/11/2015/11/20

Keywords

  • Multi-agent Systems
  • Optimal Formation
  • Proximal Gradient Algorithm

Fingerprint

Dive into the research topics of 'Proximal Gradient Algorithm for Optimal formation Control of Continuous-Time Multi-Agent Systems'. Together they form a unique fingerprint.

Cite this