Sampled-data MPC for leader-following of multi-mobile robot system

Seungyong Han, Sangmoon Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

In this paper, we propose a sampled-data model predictive tracking control deign for leader-following control of multi-mobile robot system. The error dynamics of leader-following robots is modeled as a Linear Parameter Varying (LPV) model. Also, the Lyapunov function is presented to guarantee stability of the networked control system. Based on the stabilization condition using a quadratic Lyapunov function approach, model predictive sampled-data controller is designed. Finally, the leader-following control of multi mobile robots is simulated to show effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)308-313
Number of pages6
JournalTransactions of the Korean Institute of Electrical Engineers
Volume67
Issue number2
DOIs
StatePublished - Feb 2018

Keywords

  • Leader-following control
  • MPC
  • Multi-mobile robot system
  • Sampled-data

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