Event-Based Communication and Control for Task-Space Consensus of Networked Euler-Lagrange Systems

Van Tam Ngo, Yen Chen Liu

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

In this article, we study the problems of event-based communication and actuation algorithms to mitigate unnecessary network burden and energy consumption, hence increasing the number and work time of robots/agents in a network of multiagent systems. By considering the general dynamic model of networked Euler-Lagrange systems and utilizing the adaptive control algorithm, we propose the following two event-triggered schemes: first, an event-based communication and, second, an event-based controller for a large number of agents to achieve consensus in the task space. Consider that the network connection is a directed spanning tree and the time-varying communication delays are bounded. Theoretical analyses of the proposed control algorithms for both leaderless and leader-follower (static leader) consensus are studied by employing the Lyapunov technique and function analysis. It revealed that the network achieved global stability and asymptotical convergence with avoidance of Zeno behavior. We experimented with a system of four robotic manipulators and performed numerical simulations for a networked mobile manipulator to demonstrate the efficiency and efficacy of the proposed consensus algorithms.

Original languageEnglish
Pages (from-to)555-565
Number of pages11
JournalIEEE Transactions on Control of Network Systems
Volume8
Issue number2
DOIs
Publication statusPublished - 2021 Jun 1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications
  • Control and Optimization

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