Papers
5
Total Citations
169
H-Index
3
About
Pengxin Yang is a leading researcher in the field of advanced robotics control, specializing in fault-tolerant control (FTC) systems for robotic manipulators and multi-legged robots. Their work focuses on developing robust control strategies that ensure stability and precision even when actuators fail, a critical challenge for real-world robotic applications. Yang’s most influential contribution is a 2019 paper on neural networks-based fault-tolerant control via fast terminal sliding mode, which has garnered 149 citations and established a foundational approach for handling uncertainties and actuator failures in n-link robotic systems. Building on this, Yang introduced a novel single-parameter adaptive finite-time FTC scheme in 2020, simplifying implementation while guaranteeing convergence under disturbances and saturation constraints. More recently, their 2021 work on tracking control with deferred constraints and actuator faults, and a 2025 study on quadruped robots, extend these methods to more complex platforms. Yang’s 2024 paper on practical prescribed-time FTC further advances the field by explicitly specifying settling times for error constraints. With a clear trajectory from theoretical foundations to practical, time-critical solutions, Yang’s research is vital for engineers designing resilient, high-performance robots.
Research Focus
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