Jinxian Yang
Papers
2
Total Citations
11
H-Index
2
About
Jinxian Yang is a rising researcher in the field of robotic control systems, with a primary focus on developing robust and reliable control strategies for robot manipulators. His work addresses critical challenges in prescribed performance control (PPC), particularly the fragility issues that can compromise system stability and tracking accuracy. Yang’s major contributions include pioneering non-fragile prescribed performance control schemes that ensure both transient and steady-state performance without relying on function approximation, a significant advancement over traditional methods. His 2024 papers, "Nonfragile Prescribed Performance Control of Robot Manipulators With Actuator Faults" and "Non-Fragile Prescribed Performance Control of Robotic System without Function Approximation," have already garnered 6 and 5 citations respectively, reflecting their immediate impact on the robotics community. By eliminating the need for complex function approximators, Yang’s work simplifies implementation while enhancing robustness against actuator faults, making it highly relevant for real-world robotic applications. His research promises to improve the safety and efficiency of autonomous systems, positioning him as an emerging authority in nonlinear control and robotic dynamics.
Research Focus
Key Achievements
Top Papers
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