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Peer-reviewedCC BY 4.0Mathematics

Robust Event-Triggered Formation Tracking of Fixed-Wing UAVs Under Aperiodic Communication Outages

  1. 1Naval University of Engineering, Wuhan 430033, China

Abstract

Reliable formation tracking of fixed-wing unmanned aerial vehicles (UAVs) is particularly challenging when external acceleration disturbances, command saturation, actuator-induced acceleration tracking errors, sampled communication, and recurrent common-mode outages occur simultaneously. This paper develops a predictor-based robust event-triggered leader–follower framework for a three-dimensional flight-path point-mass outer-loop model. A projected adaptive distributed observer estimates the leader state and is shown to achieve practical fixed-time stability over effective communication-available intervals. A constant-velocity state predictor and a dimensionless sampled-data triggering rule reduce inter-UAV transmissions, where the outage model accounts for physical outages, candidate-grid and dwell-time waiting, and network resynchronization. Prediction-error terms of the same order as the nominal signed-power feedback are retained explicitly to derive sampled-mode dissipation conditions and uniform ultimate boundedness for bounded outages followed by sufficiently long effective communication-available intervals. An adaptive robust controller separately addresses the matched acceleration-channel uncertainty and the unmatched observer-correction input; the virtual inertial acceleration is subsequently mapped to commands for thrust, normal load factor, and flight-path bank angle. Numerical comparisons, ablation studies, sensitivity analyses, and integration-step convergence tests illustrate finite-horizon formation recovery and a communication–accuracy–control-effort trade-off without numerically certifying the analytical recovery-interval condition.

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BibTeX
@article{zhang2026robust,
  title = {{Robust Event-Triggered Formation Tracking of Fixed-Wing UAVs Under Aperiodic Communication Outages}},
  author = {Yu Zhang and Shiyan Sun and Qizheng Zhou and Huimin Zhu and Likun Han and Chi Li},
  journal = {Mathematics},
  year = {2026},
  month = nov,
  doi = {10.3390/math14214056},
  url = {https://www.mdpi.com/2227-7390/14/21/4056},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Robust Event-Triggered Formation Tracking of Fixed-Wing UAVs Under Aperiodic Communication Outages
AU  - Yu Zhang
AU  - Shiyan Sun
AU  - Qizheng Zhou
AU  - Huimin Zhu
AU  - Likun Han
AU  - Chi Li
PY  - 2026
DA  - 2026/11/05
JO  - Mathematics
DO  - 10.3390/math14214056
UR  - https://www.mdpi.com/2227-7390/14/21/4056
AB  - Reliable formation tracking of fixed-wing unmanned aerial vehicles (UAVs) is particularly challenging when external acceleration disturbances, command saturation, actuator-induced acceleration tracking errors, sampled communication, and recurrent common-mode outages occur simultaneously. This paper develops a predictor-based robust event-triggered leader–follower framework for a three-dimensional flight-path point-mass outer-loop model. A projected adaptive distributed observer estimates the leader state and is shown to achieve practical fixed-time stability over effective communication-available intervals. A constant-velocity state predictor and a dimensionless sampled-data triggering rule reduce inter-UAV transmissions, where the outage model accounts for physical outages, candidate-grid and dwell-time waiting, and network resynchronization. Prediction-error terms of the same order as the nominal signed-power feedback are retained explicitly to derive sampled-mode dissipation conditions and uniform ultimate boundedness for bounded outages followed by sufficiently long effective communication-available intervals. An adaptive robust controller separately addresses the matched acceleration-channel uncertainty and the unmatched observer-correction input; the virtual inertial acceleration is subsequently mapped to commands for thrust, normal load factor, and flight-path bank angle. Numerical comparisons, ablation studies, sensitivity analyses, and integration-step convergence tests illustrate finite-horizon formation recovery and a communication–accuracy–control-effort trade-off without numerically certifying the analytical recovery-interval condition.
SN  - 2227-7390
ER  -