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May 29, 2026Drones0 citationsOpen Access

Distributed Adaptive Time-Varying Output Formation Tracking for Heterogeneous Small Fixed-Wing UAVs and Nonholonomic UGVs Under Switching Directed Topologies

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WHWeijie HuangLTLei TianHCHao Chen

Key Points

  • This investigation focuses on achieving time-varying output formation tracking for UAVs and UGVs despite their heterogeneous dynamics.
  • Developed distributed adaptive control protocols under switching directed communication topologies.
  • Utilized numerical simulations to assess system performance with respect to random disturbances.
  • Established closed-loop stability using Lyapunov theory.
  • Achieved TVOF tracking under random disturbance while satisfying prescribed motion constraints.
  • Successfully managed heterogeneous dynamics without relying on global information.
  • Demonstrated stability in tracking performance through careful parameter selection.

Abstract

This paper investigates time-varying output formation (TVOF) tracking for heterogeneous small fixed-wing unmanned aerial vehicles (UAVs) and nonholonomic unmanned ground vehicles (UGVs). The small fixed-wing UAVs operate in three-dimensional space, and the UGVs move on a two-dimensional plane, leading to heterogeneous dynamics with nonholonomic constraints, asymmetric velocity constraints, and input saturation. To address these challenges, distributed adaptive control protocols are developed under switching directed communication topologies. Unlike existing TVOF tracking methods that require global information, the proposed protocols do not rely on the upper bound of the leader’s unknown input or the eigenvalues of the Laplacian matrix. A constructive parameter-selection algorithm is provided, and the closed-loop stability is established using Lyapunov theory. Numerical simulations involving heterogeneous UAV-UGV formations verify that the proposed method achieves TVOF tracking under random disturbance while satisfying the prescribed motion constraints.

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Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a192e39fab5b468c44172f2https://doi.org/10.3390/drones10060415
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