Dixiong Yang

Tsinghua University, Shenyang University of Technology

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About

Dixiong Yang is a researcher advancing the frontiers of robotics and nonlinear control systems. His work primarily focuses on the trajectory planning and dynamic control of high-speed parallel robots, as well as the development of sophisticated adaptive control strategies for complex nonlinear systems. A key contribution is his "Velocity Constraints Based Approach for Online Trajectory Planning of High-Speed Parallel Robots" (2022, 14 citations), which addresses the critical challenge of nonlinear dynamic characteristics during high-speed reciprocating motion, directly impacting system stability and performance in light industry applications. Yang also made significant strides in control theory with his work on "Command‐filtered‐based neuroadaptive control for multi‐input multi‐output saturated nonstrict‐feedback nonlinear systems with prescribed tracking performance" (2022, 5 citations). This research extends prescribed performance control to handle asymmetric input saturation, ensuring that tracking errors converge to a specified region within a preassigned finite time. Through these contributions, Yang is bridging the gap between theoretical control advancements and practical robotic applications, offering robust solutions for high-speed automation and complex system regulation.