Switched Model Predictive Control for Nonholonomic Mobile Robots Under Adaptive Dwell Time

Qing Li, Hongjiu Yang, Yuanqing Xia, Hai Zhao

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

In this article, switched model predictive control (MPC) is proposed for nonholonomic mobile robots with adaptive dwell time and a dual-terminal set. The dual-terminal set is used to reduce on-line complexity of the switched MPC for the nonholonomic mobile robots with multiple constraints. By a switched signal with the adaptive dwell time, cost functions are switched to improve control performance under multiple constraints. The switched MPC with feasibility and stability can adjust a tradeoff between control performance and computational complexity for the closed-loop system. Simulation results are given to illustrate superiority of the switched MPC for nonholonomic mobile robots.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Cybernetics
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • Adaptive dwell time
  • Computational complexity
  • Control systems
  • Mobile robots
  • Optimal control
  • Predictive control
  • Switches
  • Wheels
  • model predictive control (MPC)
  • nonholonomic systems
  • switching control

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