Event-Triggered Prescribed-Time Tracking Control for UAVs Using Polynomial Error Trajectories

In this paper, we propose a novel event-triggered prescribed-time tracking (PTT) control method for an underactuated unmanned aerial vehicle (UAV). Unlike existing PTT control methods, where the transient behavior of the system depends solely on the controller gains, we design a novel reference error trajectory (RET) using a polynomial to guide the convergence of the tracking error, particularly during the transient phase. Based on this RET and within the backstepping framework, we design a thrust reference. Additionally, we introduce a novel event-triggered mechanism based on the tracking error to update the torque applied to the UAV. To streamline intricate mathematical expressions and improve robustness to external disturbances, a second-order linear system is used as a low-pass filter within the backstepping design. Finally, simulation results are provided to demonstrate the effectiveness of the proposed approach and validate the accuracy of the theoretical predictions.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3574809
Citations
4
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Event-Triggered Prescribed-Time Tracking Control for UAVs Using Polynomial Error Trajectories

Joel Reis, Wei He, Carlos Silvestre, Linghuan Kong
4 citations
IEEE Transactions on Automation Science and Engineering
Adaptive Control of Nonlinear Systems
4.86
article

Event-Triggered Prescribed-Time Tracking Control for UAVs Using Polynomial Error Trajectories

Joel Reis, Wei He, Carlos Silvestre, Linghuan Kong
article en
4 citations

Abstract

In this paper, we propose a novel event-triggered prescribed-time tracking (PTT) control method for an underactuated unmanned aerial vehicle (UAV). Unlike existing PTT control methods, where the transient behavior of the system depends solely on the controller gains, we design a novel reference error trajectory (RET) using a polynomial to guide the convergence of the tracking error, particularly during the transient phase. Based on this RET and within the backstepping framework, we design a thrust reference. Additionally, we introduce a novel event-triggered mechanism based on the tracking error to update the torque applied to the UAV. To streamline intricate mathematical expressions and improve robustness to external disturbances, a second-order linear system is used as a low-pass filter within the backstepping design. Finally, simulation results are provided to demonstrate the effectiveness of the proposed approach and validate the accuracy of the theoretical predictions.

IEEE Transactions on Automation Science and EngineeringVol. 22
University of Macau (MO), Beijing Academy of Artificial Intelligence (CN)
VNU Science and Technology Development Fund, National Natural Science Foundation of China, University of Science and Technology of China
Affordable and clean energy
Openalex Percentile: Top 5%
Adaptive Control of Nonlinear Systems
4.86
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Event-Triggered Prescribed-Time Tracking Control for UAVs Using Polynomial Error Trajectories — Joel Reis, Wei He, et al. · IEEE Transactions on Automation Science and Engineering (2025) | TGRS Research Map | TGRS