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Unknown Dynamics Estimator-Based Output-Feedback Control for Nonlinear Pure-Feedback Systems., , , , and . IEEE Trans. Syst. Man Cybern. Syst., 51 (6): 3832-3843 (2021)New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion., , , , and . IEEE Trans. Syst. Man Cybern. Syst., 51 (4): 2611-2623 (2021)Adaptive Output Feedback NN Control of a Class of Discrete-Time MIMO Nonlinear Systems With Unknown Control Directions., , , and . IEEE Trans. Syst. Man Cybern. Part B, 41 (2): 507-517 (2011)A trajectory and force dual-incremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control., , , and . Neurocomputing, (2023)Discrete-time optimal adaptive RBFNN control for robot manipulators with uncertain dynamics., , , and . Neurocomputing, (2017)Robot skill learning system of multi-space fusion based on dynamic movement primitives and adaptive neural network control., , , , and . Neurocomputing, (March 2024)Impedance Learning for Human-Guided Robots in Contact With Unknown Environments., , , , and . IEEE Trans. Robotics, 39 (5): 3705-3721 (October 2023)Bio-inspired robotic impedance adaptation for human-robot collaborative tasks., , and . Sci. China Inf. Sci., (2020)Neuro-Adaptive Compliant force/Motion Control of uncertain Constrained wheeled Mobile manipulators., , and . Int. J. Robotics Autom., (2007)A Novel Robot Skill Learning Framework Based on Bilateral Teleoperation., , , , and . CASE, page 758-763. IEEE, (2022)