IEEE Access (Jan 2020)

Neural-Adaptive Finite-Time Formation Tracking Control of Multiple Nonholonomic Agents With a Time-Varying Target

  • Kai-Bo Zhou,
  • Xiao-Kang Wu,
  • Ming-Feng Ge,
  • Chang-Duo Liang,
  • Bing-Liang Hu

DOI
https://doi.org/10.1109/ACCESS.2020.2980894
Journal volume & issue
Vol. 8
pp. 62943 – 62953

Abstract

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This paper investigates the leader-following formation tracking problem (FTP) for multiple nonholonomic agent systems (MNASs) in the presence of external disturbances and parametric uncertainties, where both the kinematics and dynamics of the agents are taken into consideration. A novel finite-time distributed controller-estimator algorithm (DCEA) is designed to handle such a challenging problem. Based on Lyapunov stability method, the sufficient conditions for finite-time stability of the closed-loop system are derived. Finally, the simulation results are presented to demonstrate the effectiveness and the robustness of the proposed DCEA.

Keywords