Zhenyang Zhang

Taiyuan University of Technology, Harbin Institute of Technology

Papers

Total Citations

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About

Zhenyang Zhang is a researcher specializing in advanced control systems and state estimation for hydraulic robotic platforms, with a particular focus on quadruped robots and actuator systems. Their most impactful work, "Tracking differentiator based back-stepping control for valve-controlled hydraulic actuator system" (2021), has garnered 44 citations, demonstrating a significant contribution to improving the precision and robustness of hydraulic actuation through nonlinear control design. This work addresses critical challenges in tracking performance and disturbance rejection, offering a practical solution for high-performance hydraulic systems. More recently, Zhang has advanced the field of legged robotics with "State estimation of hydraulic quadruped robots using invariant-EKF and kinematics with neural networks" (2023), which integrates invariant extended Kalman filtering with neural network-based kinematics to enhance state estimation accuracy under dynamic conditions. This innovative approach bridges model-based and learning-based methods, enabling more reliable locomotion control. Zhang’s research is notable for its blend of theoretical rigor and applied engineering, directly impacting the development of agile, heavy-duty robots for industrial and field applications. Their work continues to influence both control theory and practical robotic design.