A Single Parameter-Based Adaptive Approach to Robotic Manipulators With Finite Time Convergence and Actuator Fault. - Shuang Zhang 001; Pengxin Yang; Linghuan Kong; Guang Li 002; Wei He 001 (IEEE Access, 2020)

A Parallel Intelligent System for Optimizing High-Speed Railway Rescheduling by Learning. - Pengxin Yang; Dongliang Cui; Xuewu Dai; Yisheng Lv; Hairong Dong 001; Xinghao Wang; Ruiguang Liu (DTPI, 2021)

Neural Networks-Based Fault Tolerant Control of a Robot via Fast Terminal Sliding Mode. - Shuang Zhang 001; Pengxin Yang; Linghuan Kong; Wenshi Chen; Qiang Fu 007; Kaixiang Peng (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Simulation Based Robustness Evaluation of Train Rescheduling Plan Under Uncertainties. - Dezhao Zhao; Dongliang Cui; Pengxin Yang; Ruiguang Liu; Xuewu Dai (ICAC, 2023)

Practical Prescribed-Time Fault-Tolerant Control for Robot Manipulators Involving Abrupt Actuator Faults and Position Error Constraints. - Pengxin Yang; Shuang Zhang 001; Xinbo Yu; Wei He 001 (ICARM, 2024)

The Short-Term Prediction of Low-Latitude Ionospheric Irregularities Leveraging a Hybrid Ensemble Model. - Hang Liu; Pengxin Yang; Xiaodong Ren; Dengkui Mei; Xuan Le; Xiaohong Zhang; Mohamed Freeshah (IEEE Trans. Geosci. Remote. Sens., 2024)

Neural networks-based terminal sliding mode fault tolerant control to quadruped robots with actuator fault. - Pengxin Yang; Shuang Zhang; Xinbo Yu; Nan Feng; Yi Xing; Wei He (Neurocomputing, 2025)

Reinforcement-Learning-Based Finite Time Fault Tolerant Control for a Manipulator With Actuator Faults. - Pengxin Yang; Shuang Zhang 001; Xinbo Yu; Wei He 001 (IEEE Trans. Cybern., 2025)