Meng Wu

Dr. Meng Wu


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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30 October 2026 in Drones
Verified
Journal Article
Open access
PDF file
MWMeng Wu
Meng Wu
WZWenlong Zhao
Wenlong Zhao
GJGu Jiaqi
Gu Jiaqi
YCYunye Cui
Yunye Cui
Zhiwei HouZhiwei Hou
Zhiwei Hou
This paper focuses on the safe navigation of quadrotor unmanned aerial vehicles (UAVs) under obstacle-related safety constraints and prescribed tracking performance within a user-assigned predefined time. A novel control strategy is developed by integrating a Barrier Lyapunov Function (BLF) with an error-shifting transformation into the translational control mechanism, ensuring the vehicle stays clear of a safety sphere constructed around potential obstacles while being guided to a target position. This approach effectively handles arbitrary initial conditions and maintains safe operation within predefined bounds. Furthermore, by combining a prescribed-performance mechanism with a time-varying performance function and the backstepping technique, the proposed method allows the designer to specify in advance the performance-bound attainment time T0 and the terminal tracking-error bound sT0. For the analyzed translational closed-loop subsystem, all signals are bounded, and the tracking error is theoretically shown to enter the set |e1j|<sT0 no later than T0. With the designed controller, all signals in the analyzed translational closed-loop subsystem are bounded, and the output tracking error is theoretically shown to enter a user-defined prescribed set no later than the performance-bound attainment time T0. Simulation studies demonstrate the effectiveness of the designed controller in achieving desired performance metrics.