Zhi-Xiang Yang

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About

Zhi-Xiang Yang is a robotics control researcher whose work focuses on developing advanced adaptive and sliding mode control strategies for robotic systems, particularly robot arms and delta robots. His major contributions lie in designing robust controllers that can handle uncertainties and external disturbances while ensuring precise trajectory tracking. Yang's most cited paper, "Adaptive Control of a Linear Delta Robot Based on Backstepping Design" (2018, 7 citations), presents a second-order adaptive controller that achieves convergence of tracking error to zero for various input signals. His 2024 work on "Design of an Adaptive T–S Fuzzy Sliding Mode Controller for Robot Arm Tracking" (6 citations) extends this research by incorporating fuzzy logic to enhance control performance. Yang's earlier foundational work (2015, 2 citations) established the framework for adaptive sliding mode control with exponential law for robot arm tracking. Through these contributions, Yang has advanced the field of nonlinear control by combining adaptive techniques, sliding mode control, and backstepping design to create more robust and precise robotic control systems.