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Distributed Formation Control of Multiple Euler-Lagrange Systems: A Multilayer Framework

  • Dongyu Li
  • , Shuzhi Sam Ge
  • , Wei He
  • , Chuanjiang Li
  • , Guangfu Ma*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this technical correspondence, a multilayer formation (MLF) control problem is considered and solved by a unified framework. The agents in each layer present a sort of hierarchical distinction: receive information from former layers, communicate inside the current layer, and send information to subsequent layers. With an arbitrary number of layers, we extend the previous result from undirected graphs to directed ones. The proposed controller achieves MLF without using the distributed estimators and the acceleration information. This removes the induced discontinuities and alleviates the system complexity. It is then proved that the closed-loop errors are semiglobally uniformly ultimately bounded. Simulations are presented to illustrate the effectiveness of this approach.

Original languageEnglish
Pages (from-to)3325-3332
Number of pages8
JournalIEEE Transactions on Cybernetics
Volume52
Issue number5
DOIs
StatePublished - 1 May 2022
Externally publishedYes

Keywords

  • Multiagent systems
  • multilayer formation (MLF)
  • neural networks

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