Xuejiao Peng
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1
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1
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About
Xuejiao Peng is a researcher specializing in advanced control systems for robotic manipulators, with a primary focus on trajectory tracking and intelligent control methodologies. Her work centers on the integration of wavelet neural networks (WNN) with sliding mode control (SMC) to address complex challenges in space robotics and automation. In her most cited paper, "Trajectory Tracking of Two-Joint Space Robot using Wavelet Neural Networks and Sliding Mode Control" (2022), Peng proposed a novel hybrid control algorithm that effectively handles periodic interference in two-link robot manipulators. This contribution is significant for enhancing the precision and robustness of robotic systems operating in dynamic or uncertain environments, such as space applications. While her citation count is currently modest, her research lays important groundwork for future developments in intelligent control design. Peng’s work demonstrates a clear commitment to solving real-world engineering problems through the synergy of neural network adaptability and sliding mode robustness, making her a promising voice in the field of robotics and control theory.
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Top Papers
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