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Learning Robot Inverse Dynamics Using Sparse Online Gaussian Process with Forgetting Mechanism.

, , , and . AIM, page 638-643. IEEE, (2022)

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Machine health condition prediction via online dynamic fuzzy neural networks., , , , and . Eng. Appl. Artif. Intell., (2014)The Role of Response Elements Organization in Transcription Factor Selectivity: The IFN-β Enhanceosome Example., and . PLoS Comput. Biol., (2011)Robust Trajectory Tracking Control for Variable Stiffness Actuators With Model Perturbations., , , , and . Frontiers Neurorobotics, (2019)Multi-modal control scheme for rehabilitation robotic exoskeletons., , , and . Int. J. Robotics Res., 36 (5-7): 759-777 (2017)A Mangasarian-Soldov Function Based Neural Network for Constrained Control of Parallel and Serial Robots., , , , and . IROS, page 1-7. (2023)Experiments of Composite Learning Admittance Control on 7-DoF Collaborative Robots., , and . ICIRA (2), volume 13014 of Lecture Notes in Computer Science, page 532-541. Springer, (2021)Small-World Echo State Networks for Nonlinear Time-Series Prediction., , , and . ICONIP (2), volume 14448 of Lecture Notes in Computer Science, page 550-560. Springer, (2023)Robust Control of a Serial Variable Stiffness Actuator Based on Nonlinear Disturbance Observer (NDOB)., , , , , and . ICARM, page 171-176. IEEE, (2018)Least-Squares Composite Learning Backstepping Control with High-Order Tuners., , and . CDC, page 515-520. IEEE, (2023)Adaptive Neural Network Control for Constrained Robot Manipulators., , , and . ISNN (2), volume 10262 of Lecture Notes in Computer Science, page 118-127. Springer, (2017)