Noise-tolerance consensus formation control for multi-robotic networks

Chuangchuang Wang, Ping He, Heng Li, Jinyu Tian, Kuiyang Wang, Yangmin Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper investigates the formation control for noise-tolerance consensus of multi-robotic networks and the mean square consensus condition. Firstly, the multi-robot model is expressed by applying a coordinate transformation based on the Euler-Lagrange equation. Compared with recent works, the control scheme presented in this work can indirectly obtain the evolution trend of position and velocity information of the robot. Besides, the noise and communication delay are involved in the formation control protocol. Secondly, the sufficient conditions of mean square consensus for formation control in multi-robotic networks with communication delay under noisy environments are obtained by using linear matrix inequality schemes. Finally, the numerical simulations are presented and submitted to demonstrate the correctness of the obtained results.

Original languageEnglish
Pages (from-to)1569-1581
Number of pages13
JournalTransactions of the Institute of Measurement and Control
Volume42
Issue number8
DOIs
Publication statusPublished - 1 May 2020

Keywords

  • Euler-Lagrange system
  • formation control
  • multi-robotic network
  • noise-tolerance consensus

ASJC Scopus subject areas

  • Instrumentation

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