Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas. - Yunong Zhang; Zhenyu Li; Min Yang 010; Peng Yu 003; Ning Tan 003 (IJCNN, 2021)

Trajectory Tracking of Soft Continuum Robots with Unknown Models Based on Varying Parameter Recurrent Neural Networks. - Ning Tan 003; Peng Yu 003; Fenglei Ni; Zhenglong Sun 001 (SMC, 2021)

Neural-dynamics-enabled Jacobian inversion for model-based kinematic control of multi-section continuum manipulators. - Ning Tan 003; Mingwei Huang; Peng Yu 003; Tao Wang 072 (Appl. Soft Comput., 2021)

Robust model-free control for redundant robotic manipulators based on zeroing neural networks activated by nonlinear functions. - Ning Tan 003; Peng Yu 003 (Neurocomputing, 2021)

Model-free motion control of continuum robots based on a zeroing neurodynamic approach. - Ning Tan 003; Peng Yu 003; Xinyu Zhang 002; Tao Wang 072 (Neural Networks, 2021)

A Cerebellum-Inspired Model-Free Kinematic Control Method with RCM Constraint. - Xin Wang 164; Peng Yu 003; Mingzhi Mao; Ning Tan 003 (ICONIP (2), 2022)

Two model-free schemes for solving kinematic tracking control of redundant manipulators using CMAC networks. - Ning Tan 003; Chaoyuan Li; Peng Yu 003; Fenglei Ni (Appl. Soft Comput., 2022)

A New Noise-Tolerant Dual-Neural-Network Scheme for Robust Kinematic Control of Robotic Arms With Unknown Models. - Ning Tan 003; Peng Yu 003; Zhiyan Zhong; Fenglei Ni (IEEE CAA J. Autom. Sinica, 2022)

Recurrent neural networks as kinematics estimator and controller for redundant manipulators subject to physical constraints. - Ning Tan 003; Peng Yu 003; Shen Liao; Zhenglong Sun 001 (Neural Networks, 2022)

A Dual Fuzzy-Enhanced Neurodynamic Scheme for Model-Less Kinematic Control of Redundant and Hyperredundant Robots. - Ning Tan 003; Zixiao Ye; Peng Yu 003; Fenglei Ni (IEEE Trans. Fuzzy Syst., 2022)

A Discrete Model-Free Scheme for Fault-Tolerant Tracking Control of Redundant Manipulators. - Ning Tan 003; Zhaohui Zhong; Peng Yu 003; Zhan Li 002; Fenglei Ni (IEEE Trans. Ind. Informatics, 2022)

New Varying-Parameter Recursive Neural Networks for Model-Free Kinematic Control of Redundant Manipulators With Limited Measurements. - Ning Tan 003; Peng Yu 003; Fenglei Ni (IEEE Trans. Instrum. Meas., 2022)

GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration. - Bin Ye; Peng Yu 003; Cong Hu; Binbin Qiu; Ning Tan 003 (ICONIP (4), 2023)

Predefined-Time Convergent Motion Control for Heterogeneous Continuum Robots. - Ning Tan 003; Peng Yu 003; Kai Huang 001 (Robotics: Science and Systems, 2023)

Comparative studies and performance analysis on neural-dynamics-driven control of redundant robot manipulators with unknown models. - Peng Yu 003; Ning Tan 003; Zhiyan Zhong (Eng. Appl. Artif. Intell., 2023)

A Cerebellum-Inspired Network Model and Learning Approaches for Solving Kinematic Tracking Control of Redundant Manipulators. - Ning Tan 003; Peng Yu 003; Fenglei Ni (IEEE Trans. Cogn. Dev. Syst., 2023)

A Novel Discretized ZNN Model for Velocity Layer Weighted Multicriteria Optimization of Robotic Manipulators With Multiple Constraints. - Binbin Qiu; Jinjin Guo; Song Yang; Peng Yu 003; Ning Tan 003 (IEEE Trans. Ind. Informatics, 2023)

Data-Driven Control for Continuum Robots Based on Discrete Zeroing Neural Networks. - Ning Tan 003; Peng Yu 003; Zhaohui Zhong; Yunong Zhang (IEEE Trans. Ind. Informatics, 2023)

Toward Unified Adaptive Teleoperation Based on Damping ZNN for Robot Manipulators With Unknown Kinematics. - Ning Tan 003; Peng Yu 003; Mao Zhang; Changsheng Li (IEEE Trans. Ind. Electron., 2023)

Discrete integral-type zeroing neurodynamics for robust inverse-free and model-free motion control of redundant manipulators. - Min Yang 010; Peng Yu 003; Ning Tan 003 (Comput. Electr. Eng., 2024)

Model-Free Synchronous Motion Generation of Multiple Heterogeneous Continuum Robots. - Peng Yu 003; Ning Tan 003; Yuyang Wu; Binbin Qiu; Kai Huang 001 (IEEE Trans. Ind. Informatics, 2024)

Uncalibrated and Unmodeled Image-Based Visual Servoing of Robot Manipulators Using Zeroing Neural Networks. - Ning Tan 003; Peng Yu 003; Wenka Zheng (IEEE Trans. Cybern., 2024)

Unifying Obstacle Avoidance and Tracking Control of Redundant Manipulators Subject to Joint Constraints: A New Data-Driven Scheme. - Peng Yu 003; Ning Tan 003; Zhaohui Zhong; Cong Hu; Binbin Qiu; Changsheng Li (IEEE Trans. Cogn. Dev. Syst., 2024)

Discrete Quad Neural Dynamics for Inverse-Free Control of Model-Unavailable Continuum Robots. - Ning Tan 003; Muhammad Usama Goher; Peng Yu 003; Zhenglong Sun 001; Xiaoyi Gu (IEEE Trans. Ind. Electron., 2024)

Predefined-Time Convergent Kinematic Control of Robotic Manipulators With Unknown Models Based on Hybrid Neural Dynamics and Human Behaviors. - Ning Tan 003; Peng Yu 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Behavior-predefined adaptive control for heterogeneous continuum robots. - Ning Tan 003; Peng Yu 003; Xin Wang 164; Kai Huang 001 (Int. J. Robotics Res., 2025)

Self-Modeling Robots by Photographing. - Kejun Hu; Peng Yu 003; Ning Tan 003 (CoRR, 2025)

A Hybrid Neurodynamic Scheme for Bimanual Synchronized Tracking Control of Robotic Manipulators With Uncertain Kinematics. - Peng Yu 003; Ning Tan 003; Xiaoyi Gu (IEEE Trans. Ind. Informatics, 2025)