A distributed control and parameter estimation protocol with prescribed performance for homogeneous lagrangian multi-agent systems

Charalampos P. Bechlioulis, Michael A. Demetriou, Kostas J. Kyriakopoulos

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we consider the formation control problem for uncertain homogeneous Lagrangian nonlinear multi-agent systems in a leader-follower scheme under a directed communication protocol. A distributed adaptive control protocol of minimal complexity is proposed that achieves prescribed, arbitrarily fast and accurate formation establishment as well as synchronization of the parameter estimates of all followers. The estimation and control laws are distributed in the sense that the control signal and the update laws are calculated based solely on local relative state information. Moreover, provided that the communication graph is strongly connected and contrary to the related works on multi-agent systems, the controller-imposed transient and steady state performance bounds are fully decoupled from: (i) the underlying graph topology, (ii) the control gains selection and (iii) the agents’ model uncertainties. Finally, extensive simulation studies on the attitude control of flying spacecrafts clarify and verify the approach.

Original languageEnglish (US)
Pages (from-to)1525-1541
Number of pages17
JournalAutonomous Robots
Volume42
Issue number8
DOIs
StatePublished - Dec 1 2018

Keywords

  • Distributed formation control
  • Distributed parameter estimation
  • Networked lagrangian systems
  • Prescribed performance control

ASJC Scopus subject areas

  • Artificial Intelligence

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