Zhijun Fu
Orcid: 0000-0002-9147-3676
According to our database1,
Zhijun Fu
authored at least 19 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Pervasive Comput., 2024
Distracted Driving Behavior and Driver's Emotion Detection Based on Improved YOLOv8 With Attention Mechanism.
IEEE Access, 2024
2023
Design and Modeling of A Lightweight Lower Limb Exoskeleton With Compliant Knee Joints.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023
2022
Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System.
Comput. Intell. Neurosci., 2022
Fault Identification of Lithium-Ion Battery Pack for Electric Vehicle Based on GA Optimized ELM Neural Network.
IEEE Access, 2022
2019
Int. J. Model. Identif. Control., 2019
2018
High-performance torque controller design for AC driving 4WD electric vehicle in two time scales.
Int. J. Model. Identif. Control., 2018
2017
Identification and Trajectory Tracking Control of Nonlinear Singularly Perturbed Systems.
IEEE Trans. Ind. Electron., 2017
Neurocomputing, 2017
Observer-based adaptive optimal control for unknown singularly perturbed nonlinear systems with input constraints.
IEEE CAA J. Autom. Sinica, 2017
2016
Neurocomputing, 2016
Adaptive Nonlinear Systems Identification via Discrete Multi-Time Scales Dynamic Neural Networks.
Intell. Autom. Soft Comput., 2016
Proceedings of the IEEE International Conference on Information and Automation, 2016
2013
Nonlinear Systems Identification and Control Via Dynamic Multitime Scales Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2013
Robust on-line nonlinear systems identification using multilayer dynamic neural networks with two-time scales.
Neurocomputing, 2013
Adaptive nonlinear systems identification via dynamic multilayer neural networks with two-time scales.
Proceedings of the IEEE International Conference on Control Applications, 2013
2012
Induction motor identification using dynamic two-time scales neural networks with sliding mode learning.
Proceedings of the 25th IEEE Canadian Conference on Electrical and Computer Engineering, 2012
2011
Neurocomputing, 2011