Keping Liu
Orcid: 0000-0003-2787-4763
According to our database1,
Keping Liu
authored at least 42 papers
between 2003 and 2024.
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Bibliography
2024
A zeroing neural network model for form-finding problems: A nonlinear optimization approach.
Eng. Appl. Artif. Intell., 2024
A noise suppression zeroing neural network for trajectory tracking with joint angle constraints of mobile manipulator.
Eng. Appl. Artif. Intell., 2024
An artificial systems, computational experiments and parallel execution-based surface electromyogram-driven anti-disturbance zeroing neurodynamic strategy for upper limb human-robot interaction control.
CAAI Trans. Intell. Technol., 2024
sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton.
Biomed. Signal Process. Control., 2024
An Adaptive Control Method Based on Radial Basis Function Neural Network for Variable Stiffness Actuator.
Proceedings of the IEEE International Conference on Industrial Technology, 2024
2023
Maximizing the Effective Quasi-Usage Rate for 4WIMD-EVs Under Combined-Slip Conditions.
IEEE Trans. Veh. Technol., December, 2023
Model-Free Adaptive Positioning Control of the Bidirectional Stick-Slip Piezoelectric Actuator with Coupled Asymmetric Flexure-Hinge Mechanisms.
Sensors, September, 2023
The dynamic relaxation form finding method aided with advanced recurrent neural network.
CAAI Trans. Intell. Technol., September, 2023
A Multi-Joint Continuous Motion Estimation Method of Lower Limb Using Least Squares Support Vector Machine and Zeroing Neural Network based on sEMG signals.
Neural Process. Lett., June, 2023
A novel form-finding method via noise-tolerant neurodynamic model for symmetric tensegrity structure.
Neural Comput. Appl., March, 2023
Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human-robot interaction control in non-ideal conditions.
Expert Syst. Appl., 2023
Human-machine interaction controller of upper limb based on iterative learning method with zeroing neural algorithm and disturbance observer.
Eng. Appl. Artif. Intell., 2023
2022
An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network.
Neural Comput. Appl., 2022
Discrete-time noise-tolerant Z-type model for online solving nonlinear time-varying equations in the presence of noises.
J. Comput. Appl. Math., 2022
A neural network-based model for lower limb continuous estimation against the disturbance of uncertainty.
Biomed. Signal Process. Control., 2022
sEMG-based multi-joints motion estimation of lower limb utilizing deep convolutional neural network.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022
Upper Limb Multi-Joint Angle Estimation Based on Multichannel sEMG Signals Using Elman Neural Network.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022
Impedance Control of Upper Limb Rehabilitation Robot Based on Series Elastic Actuator.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
2021
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method.
Neurocomputing, 2021
Zero-sum game-based neuro-optimal control of modular robot manipulators with uncertain disturbance using critic only policy iteration.
Neurocomputing, 2021
Five-step discrete-time noise-tolerant zeroing neural network model for time-varying matrix inversion with application to manipulator motion generation.
Eng. Appl. Artif. Intell., 2021
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals.
Biomed. Signal Process. Control., 2021
A novel adaptive iterative learning control approach and human-in-the-loop control pattern for lower limb rehabilitation robot in disturbances environment.
Auton. Robots, 2021
Form-finding of Tensegrity Structures Utilizing a Nonlinear Fletcher-Reeves Conjugate Gradient Method.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
2020
Distributed fault-tolerant control of modular and reconfigurable robots with consideration of actuator saturation.
Neural Comput. Appl., 2020
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach.
Neural Comput. Appl., 2020
Decentralized robust optimal control for modular robot manipulators via critic-identifier structure-based adaptive dynamic programming.
Neural Comput. Appl., 2020
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach.
Neurocomputing, 2020
Two DTZNN Models of O(τ<sup>4</sup>) Pattern for Online Solving Dynamic System of Linear Equations: Application to Manipulator Motion Generation.
IEEE Access, 2020
Critic Only Policy Iteration-based Zero-sum Neuro-optimal Control of Modular and Reconfigurable Robots with uncertain disturbance via Adaptive Dynamic Programming.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
Average dwell time approach to <i>H</i><sub>∞</sub> filter for continuous-time switched linear parameter varying systems with time-varying delay.
J. Syst. Control. Eng., 2019
Actor-Critic-Identifier Structure-Based Decentralized Neuro-Optimal Control of Modular Robot Manipulators With Environmental Collisions.
IEEE Access, 2019
Decentralized Robust Optimal Control for Modular Robot Manipulators Based on Zero-Sum Game with ADP.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
2018
Torque sensorless decentralized neuro-optimal control for modular and reconfigurable robots with uncertain environments.
Neurocomputing, 2018
2017
Decentralized Control of Harmonic Drive Based Modular Robot Manipulator using only Position Measurements: Theory and Experimental Verification.
J. Intell. Robotic Syst., 2017
A Learning-Based Decentralized Optimal Control Method for Modular and Reconfigurable Robots with Uncertain Environment.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Asteroid landing via onboard optimal guidance based on bidirectional extreme learning machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Terminal sliding mode control for landing on asteroids based on double power reaching law.
Proceedings of the IEEE International Conference on Information and Automation, 2015
2012
An adaptive backstepping observer-controller design for manipulators cooperating flexible payload.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2005
Robust Control of a Two-Link Flexible Manipulator with Quasi-Static Deflection Compensation Using Neural Networks.
J. Intell. Robotic Syst., 2005
2003
Robust control of a two-link flexible manipulator with neural networks based quasi-static deflection compensation.
Proceedings of the American Control Conference, 2003