Consensus for multi-agent systems in the presence of attitude constraint

Ya Liu, Panfeng Huang, Fan Zhang, Yakun Zhao

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

2 Scopus citations

Abstract

This paper investigates consensus problem for a class of multi-agent systems with external disturbance in presence of convex attitude constraints. An adaptive law is proposed to approximate the disturbance, where an auxiliary system is introduced to force the attitude states of the agents to stay in the permission set. The auxiliary system is formed by utilizing a logarithmic barrier potential function. It is assumed that each agent has access to both attitude parameters and auxiliary system outputs of its neighbors. Finally, based on Lyapunov approach and Barbalat's Lemma, it is proved that the agents can reach consensus to the desired value asymptotically while not to violate the attitude constrained zone. Also, simulation results for tethered space net robot are performed to illustrate the effectiveness of the designed control strategy.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Information and Automation, ICIA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1186-1191
Number of pages6
ISBN (Electronic)9781538680698
DOIs
StatePublished - Aug 2018
Event2018 IEEE International Conference on Information and Automation, ICIA 2018 - Wuyishan, Fujian, China
Duration: 11 Aug 201813 Aug 2018

Publication series

Name2018 IEEE International Conference on Information and Automation, ICIA 2018

Conference

Conference2018 IEEE International Conference on Information and Automation, ICIA 2018
Country/TerritoryChina
CityWuyishan, Fujian
Period11/08/1813/08/18

Keywords

  • Attitude constraint
  • Barrier potential function.
  • Consensus
  • Multi-agent systems
  • Tethered space net robot

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