Adaptive Neural Tracking Control of Robotic Manipulators with Guaranteed NN Weight Convergence. - Jun Yang 029; Jing Na; Guanbin Gao; Chao Zhang 038 (Complex., 2018)

Reinforcing Transient Response of Adaptive Control Systems Using Modified Command and Reference Model. - Jing Na; Jun Yang 029; Guanbin Gao (IEEE Trans. Aerosp. Electron. Syst., 2020)

Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems. - Jing Na; Jun Yang 029; Shubo Wang; Guanbin Gao; Chenguang Yang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Robust Reference Tracking of Linear Uncertain Systems via Uncertainty Estimation and Composite Control. - Jun Yang 029; Xinyu Jia; Zhimin Hou; Yongping Pan 001; Haoyong Yu (CDC, 2023)

Motion Control based on Disturbance Estimation and Time-Varying Gain for Robotic Manipulators. - Xinyu Jia; Jun Yang 029; Kaixin Lu; Haoyong Yu (CoRR, 2023)

Enhanced Robust Motion Control based on Unknown System Dynamics Estimator for Robot Manipulators. - Xinyu Jia; Jun Yang 029; Kaixin Lu; Yongping Pan 001; Haoyong Yu (ICRA, 2024)

Multi-Layered Safety of Redundant Robot Manipulators via Task-Oriented Planning and Control. - Xinyu Jia; Wenxin Wang; Jun Yang 029; Yongping Pan 001; Haoyong Yu (CoRR, 2024)

Inverse Optimal Adaptive Control of Canonical Nonlinear Systems With Dynamic Uncertainties and Its Application to Industrial Robots. - Kaixin Lu; Haoyong Yu; Zhi Liu 001; Shuaishuai Han; Jun Yang 029 (IEEE Trans. Ind. Informatics, 2024)

Inverse Optimal Adaptive Tracking Control of Robotic Manipulators Driven by Compliant Actuators. - Kaixin Lu; Shuaishuai Han; Jun Yang 029; Haoyong Yu (IEEE Trans. Ind. Electron., 2024)

Dynamics-Based Motion Control for a Hybrid-Driven Continuum Robot With Continuously Variable Stiffness. - Jun Yang 029; Edward Harsono; Haoyong Yu (IEEE Trans Autom. Sci. Eng., 2025)

ToMPC: Task-Oriented Model Predictive Control via ADMM for Safe Robotic Manipulation. - Xinyu Jia; Wenxin Wang; Jun Yang 029; Yongping Pan 001; Haoyong Yu (IEEE Robotics Autom. Lett., 2025)