Yongping Pan

IEEE Control. Syst. Lett., 2024

Adaptive Estimation and Control With Online Data Memory: A Historical Perspective.

[BibT_eX]

[DOI]

Tian Shi

IEEE Control. Syst. Lett., 2024

Guest Editorial to the Special Section on Composite Adaptive and Learning Control With Robotic Applications.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2024

Composite Learning Image-Based Visual Servoing of Redundant Robots With Nullspace Compliance.

[BibT_eX]

[DOI]

Zhiwen Li

Weibing Li

IEEE Control. Syst. Lett., 2024

Composite learning backstepping control with guaranteed exponential stability and robustness.

[BibT_eX]

[DOI]

Tian Shi

Changyun Wen

CoRR, 2024

2023

Stability and L∞-Gain of Positive Fractional-Order Singular Systems With Time-Varying Delays.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, September, 2023

Composite adaptation and learning for robot control: A survey.

[BibT_eX]

[DOI]

Kai Guo

Annu. Rev. Control., January, 2023

A Mangasarian-Soldov Function Based Neural Network for Constrained Control of Parallel and Serial Robots.

[BibT_eX]

[DOI]

IROS, 2023

A Novel Obstacle-Avoidance Solution With Non-Iterative Neural Controller for Joint-Constrained Redundant Manipulators.

[BibT_eX]

[DOI]

IROS, 2023

Small-World Echo State Networks for Nonlinear Time-Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Acceleration-Free Recursive Composite Learning Control of High-DoF Robot Manipulators.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Robust Reference Tracking of Linear Uncertain Systems via Uncertainty Estimation and Composite Control.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Least-Squares Composite Learning Backstepping Control with High-Order Tuners.

[BibT_eX]

[DOI]

Tian Shi

Changyun Wen

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Vision-Based Potential Field Path Planning for Robot Obstacle Avoidance Under Field-of-View Constraints.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

Adaptive Tracking Control of Hydraulic Systems With Improved Parameter Convergence.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Locally Weighted Learning Robot Control With Improved Parameter Convergence.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Composite FORCE learning of chaotic echo state networks for time-series prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Bioinspired composite learning control under discontinuous friction for industrial robots.

[BibT_eX]

[DOI]

CoRR, 2022

Performance Comparison of Several Robot Visual Servo Path Planning Approaches.

[BibT_eX]

[DOI]

Zesong Wu

Weibing Li

Juan Humberto Sossa Azuela

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Reinforcement Learning-Based Impedance Learning for Robot Admittance Control in Industrial Assembly.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

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

[BibT_eX]

[DOI]

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2022

2021

Stability-Guaranteed Variable Impedance Control of Robots Based on Approximate Dynamic Inversion.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2021

Positivity and Stability Analysis for Fractional-Order Delayed Systems: A T-S Fuzzy Model Approach.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2021

Editorial: Advances in Robots Trajectories Learning via Fast Neural Networks.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2021

Performance Improvement of FORCE Learning for Chaotic Echo State Networks.

[BibT_eX]

[DOI]

Ruihong Wu

Kohei Nakajima

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Adaptive Echo State Network Robot Control with Guaranteed Parameter Convergence.

[BibT_eX]

[DOI]

Ruihong Wu

Zhiwen Li

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

Experiments of Composite Learning Admittance Control on 7-DoF Collaborative Robots.

[BibT_eX]

[DOI]

Xin Liu

Zhiwen Li

Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021

2020

Composite Learning Enhanced Robot Impedance Control.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Neural Network Backstepping Control of Fractional-Order Nonlinear Systems With Actuator Faults.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Md Meftahul Ferdaus

Mahardhika Pratama

Sreenatha G. Anavatti

Matthew A. Garratt

IEEE Trans. Fuzzy Syst., 2020

Composite Learning Adaptive Dynamic Surface Control of Fractional-Order Nonlinear Systems.

[BibT_eX]

[DOI]

Heng Liu

Jinde Cao

IEEE Trans. Cybern., 2020

Fast learning of neural networks with application to big data processes.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Editorial: AI for Robot Modeling, Path Planning, and Intelligent Control.

[BibT_eX]

[DOI]

Basil M. Al-Hadithi

Chenguang Yang

Frontiers Robotics AI, 2020

Editorial: Bioinspired Design and Control of Robots With Intrinsic Compliance.

[BibT_eX]

[DOI]

Zhao Guo

Dongbing Gu

Frontiers Neurorobotics, 2020

Learning impedance control of robots with enhanced transient and steady-state control performances.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2020

Semiglobal exponential control of Euler-Lagrange systems using a sliding-mode disturbance observer.

[BibT_eX]

[DOI]

Autom., 2020

Composite learning control of robotic systems: A least squares modulated approach.

[BibT_eX]

[DOI]

Autom., 2020

2019

Compressive Sensing for Joint User Activity and Data Detection in Grant-Free NOMA.

[BibT_eX]

[DOI]

Jun Zhang

Jie Xu

IEEE Wirel. Commun. Lett., 2019

Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach.

[BibT_eX]

[DOI]

Kai Guo

IEEE Trans. Ind. Electron., 2019

Robust Sliding Mode Control for Robots Driven by Compliant Actuators.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2019

Efficient PID Tracking Control of Robotic Manipulators Driven by Compliant Actuators.

[BibT_eX]

[DOI]

Xiang Li

IEEE Trans. Control. Syst. Technol., 2019

Robust adaptive control for prescribed performance tracking of constrained uncertain nonlinear systems.

[BibT_eX]

[DOI]

J. Frankl. Inst., 2019

Robust Trajectory Tracking Control for Variable Stiffness Actuators With Model Perturbations.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2019

2018

Personalized Variable Gain Control With Tremor Attenuation for Robot Teleoperation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

Online Recorded Data-Based Composite Neural Control of Strict-Feedback Systems With Application to Hypersonic Flight Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Integral Sliding Mode Control: Performance, Modification, and Improvement.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

Adaptive Command-Filtered Backstepping Control of Robot Arms With Compliant Actuators.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2018

Continuous Tracking Control for a Compliant Actuator With Two-Stage Stiffness.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2018

Synchronization for fractional-order neural networks with full/under-actuation using fractional-order sliding mode control.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2018

Robust model predictive control for constrained continuous-time nonlinear systems.

[BibT_eX]

[DOI]

Int. J. Control, 2018

Composite learning robot control with guaranteed parameter convergence.

[BibT_eX]

[DOI]

Autom., 2018

Robust Control of a Serial Variable Stiffness Actuator Based on Nonlinear Disturbance Observer (NDOB).

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018

2017

Disturbance Observer Based Composite Learning Fuzzy Control of Nonlinear Systems with Unknown Dead Zone.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptive Fuzzy Backstepping Control of Fractional-Order Nonlinear Systems.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2017

Adaptive Human-Robot Interaction Control for Robots Driven by Series Elastic Actuators.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2017

Biomimetic Hybrid Feedback Feedforward Neural-Network Learning Control.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2017

Output-Feedback Adaptive Neural Control of a Compliant Differential SMA Actuator.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2017

Composite learning from adaptive backstepping neural network control.

[BibT_eX]

[DOI]

Neural Networks, 2017

Multi-modal control scheme for rehabilitation robotic exoskeletons.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2017

Adaptive fuzzy PD control with stable H∞ tracking guarantee.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Characteristic Model-Based Robust Model Predictive Control for Hypersonic Vehicles with Constraints.

[BibT_eX]

[DOI]

Jun Zhang

Frontiers Robotics AI, 2017

Adaptive Neural Network Control of Serial Variable Stiffness Actuators.

[BibT_eX]

[DOI]

Complex., 2017

Composite adaptive locally weighted learning control for multi-constraint nonlinear systems.

[BibT_eX]

[DOI]

Chenguang Yang

Appl. Soft Comput., 2017

Adaptive Control for Nonaffine Nonlinear Systems Using Reliable Neural Network Approximation.

[BibT_eX]

[DOI]

IEEE Access, 2017

Adaptive Neural Network Control for Constrained Robot Manipulators.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

Composite Learning From Adaptive Dynamic Surface Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2016

Hybrid feedback feedforward: An efficient design of adaptive neural network control.

[BibT_eX]

[DOI]

Neural Networks, 2016

Neural network based dynamic surface control of hypersonic flight dynamics using small-gain theorem.

[BibT_eX]

[DOI]

Bin Xu

Qi Zhang

Neurocomputing, 2016

Composite Learning Fuzzy Control of Uncertain Nonlinear Systems.

[BibT_eX]

[DOI]

Int. J. Fuzzy Syst., 2016

Region control for robots driven by series elastic actuators.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Least-squares learning control with guaranteed parameter convergence.

[BibT_eX]

[DOI]

Xiang Li

Proceedings of the 22nd International Conference on Automation and Computing, 2016

Biomimetic composite learning for robot motion control.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016

2015

Human-Robot Interaction Control of Rehabilitation Robots With Series Elastic Actuators.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2015

Global Neural Dynamic Surface Tracking Control of Strict-Feedback Systems With Application to Hypersonic Flight Vehicle.

[BibT_eX]

[DOI]

Bin Xu

Chenguang Yang

IEEE Trans. Neural Networks Learn. Syst., 2015

Peaking-Free Output-Feedback Adaptive Neural Control Under a Nonseparation Principle.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Global Asymptotic Stabilization Using Adaptive Fuzzy PD Control.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Simplified adaptive neural control of strict-feedback nonlinear systems.

[BibT_eX]

[DOI]

Yiqi Liu

Neurocomputing, 2015

Composite Learning Control With Application to Inverted Pendulums.

[BibT_eX]

[DOI]

CoRR, 2015

Dynamic surface control via singular perturbation analysis.

[BibT_eX]

[DOI]

Autom., 2015

2014

Adaptive Neural PD Control With Semiglobal Asymptotic Stabilization Guarantee.

[BibT_eX]

[DOI]

Meng Joo Er

IEEE Trans. Neural Networks Learn. Syst., 2014

Discrete-time hypersonic flight control based on extreme learning machine.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Machine health condition prediction via online dynamic fuzzy neural networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2014

Biomimetic hybrid feedback feedforword adaptive neural control of robotic arms.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2013

Enhanced Adaptive Fuzzy Control With Optimal Approximation Error Convergence.

[BibT_eX]

[DOI]