Zhinan Peng
Orcid: 0000-0003-2239-4920
According to our database1,
Zhinan Peng
authored at least 31 papers
between 2018 and 2024.
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Bibliography
2024
Optimal Consensus Control for Multi-Agent Systems With Unknown Dynamics and States of Leader: A Distributed KREM Learning Method.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Online gait learning with Assist-As-Needed control strategy for post-stroke rehabilitation exoskeletons.
Robotica, February, 2024
Event-triggered critic learning impedance control of lower limb exoskeleton robots in interactive environments.
Neurocomputing, January, 2024
2023
Optimal tracking control for motion constrained robot systems via event-sampled critic learning.
Expert Syst. Appl., December, 2023
Adaptive optimal control of affine nonlinear systems via identifier-critic neural network approximation with relaxed PE conditions.
Neural Networks, October, 2023
Event-Triggered Learning Robust Tracking Control of Robotic Systems With Unknown Uncertainties.
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
Optimal H∞ tracking control of nonlinear systems with zero-equilibrium-free via novel adaptive critic designs.
Neural Networks, July, 2023
2022
Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022
Distributed Optimal Tracking Control of Discrete-Time Multiagent Systems via Event-Triggered Reinforcement Learning.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Human-exoskeleton Cooperative Balance Strategy for a Human-powered Augmentation Lower Exoskeleton.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
A Novel Multimodal Human-Exoskeleton Interface Based on EEG and sEMG Activity for Rehabilitation Training.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
T3SFNet: A Tuned Topological Temporal-Spatial Fusion Network for Motor Imagery with Rehabilitation Exoskeleton.
Proceedings of the Cognitive Systems and Information Processing, 2022
Tracking Control for Motion Constrained Robotic System via Dynamic Event-Sampled Intelligent Learning Method.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Adaptive Decision Method of Directional Drilling Tool Face Based on Model Free Online Learning.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the Computer Vision - ACCV 2022, 2022
2021
Input-Output Data-Based Output Antisynchronization Control of Multiagent Systems Using Reinforcement Learning Approach.
IEEE Trans. Ind. Informatics, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Estimating the Center of Mass of Human-Exoskeleton Systems with Physically Coupled Serial Chain.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Channel Synergy-based Human-Robot Interface for a Lower Limb Walking Assistance Exoskeleton.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Adaptive Event-Triggered Motion Tracking Control Strategy for a Lower Limb Rehabilitation Exoskeleton.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
Understanding the mechanism of human-computer game: a distributed reinforcement learning perspective.
Int. J. Syst. Sci., 2020
Internal reinforcement adaptive dynamic programming for optimal containment control of unknown continuous-time multi-agent systems.
Neurocomputing, 2020
Data-Driven Optimal Assistance Control of a Lower Limb Exoskeleton for Hemiplegic Patients.
Frontiers Neurorobotics, 2020
Optimal containment control of continuous-time multi-agent systems with unknown disturbances using data-driven approach.
Sci. China Inf. Sci., 2020
Data-driven containment control of discrete-time multi-agent systems via value iteration.
Sci. China Inf. Sci., 2020
A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning.
Appl. Math. Comput., 2020
Data-Driven Reinforcement Learning for Walking Assistance Control of a Lower Limb Exoskeleton with Hemiplegic Patients.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Data-driven optimal tracking control of discrete-time multi-agent systems with two-stage policy iteration algorithm.
Inf. Sci., 2019
Neurocomputing, 2019
IEEE Access, 2019
2018
Learning-based Walking Assistance Control Strategy for a Lower Limb Exoskeleton with Hemiplegia Patients.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018