Meng Wu
Meng Wu
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Meng Wu has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Jiaqi Gu
Hangzhou Zhiyuan Research Institute CO. , LTD, Hangzhou 310024, China
1 shared publication - Wenlong Zhao
Hangzhou Zhiyuan Research Institute CO. , LTD, Hangzhou 310024, China
1 shared publication - Yunye Cui
School of Systems Science and Engineering, Sun Yat-sen University,Guangzhou 510275, China
1 shared publication - Zhiwei Hou
School of Systems Science and Engineering, Sun Yat-Sen University, Guangzhou, China
1 shared publication
Latest Publications
- Open Access
Adaptive Predefined-Time Collision Avoidance Control for Unmanned Aerial Vehicle Using Lyapunov Functions
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 and the terminal tracking-error bound . For the analyzed translational closed-loop subsystem, all signals are bounded, and the tracking error is theoretically shown to enter the set no later than . 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 . Simulation studies demonstrate the effectiveness of the designed controller in achieving desired performance metrics.Open AccessAdaptive Predefined-Time Collision Avoidance Control for Unmanned Aerial Vehicle Using Lyapunov Functions
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 and the terminal tracking-error bound . For the analyzed translational closed-loop subsystem, all signals are bounded, and the tracking error is theoretically shown to enter the set no later than . 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 . Simulation studies demonstrate the effectiveness of the designed controller in achieving desired performance metrics.