Zhijun Fu

Orcid: 0000-0002-9147-3676

According to our database1, Zhijun Fu authored at least 19 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Co-Designing Accessible Computer and Smartphone Input Using Physical Computing.
IEEE Pervasive Comput., 2024

CompassDB: Pioneering High-Performance Key-Value Store with Perfect Hash.
CoRR, 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
Optimal torque vectoring control for distributed drive electric vehicle.
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

Adaptive optimal control of unknown nonlinear systems with different time scales.
Neurocomputing, 2017

Observer-based adaptive optimal control for unknown singularly perturbed nonlinear systems with input constraints.
IEEE CAA J. Autom. Sinica, 2017

2016
Robust adaptive nonlinear observer design via multi-time scales neural network.
Neurocomputing, 2016

Adaptive Nonlinear Systems Identification via Discrete Multi-Time Scales Dynamic Neural Networks.
Intell. Autom. Soft Comput., 2016

Nash bargaining approach to design multi-objective MPC.
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
Nonlinear systems identification using dynamic multi-time scale neural networks.
Neurocomputing, 2011


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