| Model-free motion control of continuum robots based on a zeroing neurodynamic approach N Tan, P Yu, X Zhang, T Wang Neural Networks 133, 21-31, 2021 | 32 | 2021 |
| Robust model-free control for redundant robotic manipulators based on zeroing neural networks activated by nonlinear functions N Tan, P Yu Neurocomputing 438, 44-54, 2021 | 30 | 2021 |
| A discrete model-free scheme for fault-tolerant tracking control of redundant manipulators N Tan, Z Zhong, P Yu, Z Li, F Ni IEEE Transactions on Industrial Informatics 18 (12), 8595-8606, 2022 | 23 | 2022 |
| New varying-parameter recursive neural networks for model-free kinematic control of redundant manipulators with limited measurements N Tan, P Yu, F Ni IEEE Transactions on Instrumentation and Measurement 71, 1-14, 2022 | 16 | 2022 |
| Neural-dynamics-enabled Jacobian inversion for model-based kinematic control of multi-section continuum manipulators N Tan, M Huang, P Yu, T Wang Applied Soft Computing 103, 107114, 2021 | 12 | 2021 |
| A dual fuzzy-enhanced neurodynamic scheme for model-less kinematic control of redundant and hyperredundant robots N Tan, Z Ye, P Yu, F Ni IEEE Transactions on Fuzzy Systems 30 (10), 4409-4422, 2022 | 11 | 2022 |
| A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models. N Tan, P Yu, Z Zhong, F Ni IEEE CAA J. Autom. Sinica 9 (10), 1778-1791, 2022 | 10 | 2022 |
| A cerebellum-inspired network model and learning approaches for solving kinematic tracking control of redundant manipulators N Tan, P Yu, F Ni IEEE Transactions on Cognitive and Developmental Systems 15 (1), 150-162, 2022 | 10 | 2022 |
| Data-driven control for continuum robots based on discrete zeroing neural networks N Tan, P Yu, Z Zhong, Y Zhang IEEE Transactions on Industrial Informatics, 2022 | 9 | 2022 |
| Controlling robot manipulators using gradient-based recursive neural networks N Tan, M Zhang, P Yu 2020 International Symposium on Autonomous Systems (ISAS), 207-211, 2020 | 7 | 2020 |
| Comparative studies and performance analysis on neural-dynamics-driven control of redundant robot manipulators with unknown models P Yu, N Tan, Z Zhong Engineering Applications of Artificial Intelligence 117, 105528, 2023 | 6 | 2023 |
| A novel discretized ZNN model for velocity-layer weighted multi-criteria optimization of robotic manipulators with multiple constraints B Qiu, J Guo, S Yang, P Yu, N Tan IEEE Transactions on Industrial Informatics, 2022 | 6 | 2022 |
| Gradient-Zhang neural dynamics models computing pseudoinverses of time-varying matrices via ZeaD and extrapolation formulas Y Zhang, Z Li, M Yang, P Yu, N Tan 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 6 | 2021 |
| Toward unified adaptive teleoperation based on damping ZNN for robot manipulators with unknown kinematics N Tan, P Yu, M Zhang, C Li IEEE Transactions on Industrial Electronics 70 (9), 9227-9236, 2022 | 5 | 2022 |
| Two model-free schemes for solving kinematic tracking control of redundant manipulators using CMAC networks N Tan, C Li, P Yu, F Ni Applied Soft Computing 126, 109267, 2022 | 5 | 2022 |
| Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints N Tan, P Yu, S Liao, Z Sun Neural Networks 153, 64-75, 2022 | 5 | 2022 |
| Trajectory tracking of soft continuum robots with unknown models based on varying parameter recurrent neural networks N Tan, P Yu, F Ni, Z Sun 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 5 | 2021 |
| Uncalibrated and unmodeled image-based visual servoing of robot manipulators using zeroing neural networks N Tan, P Yu, W Zheng IEEE Transactions on Cybernetics, 2022 | 4 | 2022 |
| Neural-network-based control of wheeled mobile manipulators with unknown kinematic models N Tan, Z Zhu, P Yu 2020 International Symposium on Autonomous Systems (ISAS), 212-216, 2020 | 4 | 2020 |
| Position-based visual servo control of dual robotic arms with unknown kinematic models: A cerebellum-inspired approach P Yu, N Tan, M Mao IEEE/ASME Transactions on Mechatronics, 2023 | 3 | 2023 |
