Kai Guo
Orcid: 0000-0002-3451-7732Affiliations:
- Shandong University, Department of Mechanical Engineering, Jinan, China
- Zhejiang University, Hangzhou, China (PhD 2015)
According to our database1,
Kai Guo
authored at least 25 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Modified Data-Driven Disturbance Observer With Its Application in Quadrant Glitch Compensation of Ball Screw Feed-Drive System.
IEEE Trans. Ind. Electron., January, 2025
2024
IEEE Trans. Autom. Control., March, 2024
SE-U-Lite: Milling Tool Wear Segmentation Based on Lightweight U-Net Model With Squeeze-and-Excitation Module.
IEEE Trans. Instrum. Meas., 2024
Composite Learning Exponential Tracking Robot Control With Uncertain Kinematics and Dynamics.
IEEE Control. Syst. Lett., 2024
IEEE Access, 2024
2023
IEEE Trans. Ind. Informatics, August, 2023
Annu. Rev. Control., January, 2023
Kinematic Calibration and Compensation of Industrial Robots Based on Extended Joint Space.
IEEE Access, 2023
2022
IEEE Trans. Ind. Electron., 2022
IEEE Trans. Ind. Electron., 2022
Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.
IEEE Trans. Cybern., 2022
Indirect adaptive control of multi-input-multi-output nonlinear singularly perturbed systems with model uncertainties.
Neurocomputing, 2022
Bioinspired composite learning control under discontinuous friction for industrial robots.
CoRR, 2022
2021
IEEE Access, 2021
IEEE Access, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
2020
Autom., 2020
2019
Identification and Control of Nonlinear Systems Using Neural Networks: A Singularity-Free Approach.
IEEE Trans. Neural Networks Learn. Syst., 2019
Composite Learning Robot Control With Friction Compensation: A Neural Network-Based Approach.
IEEE Trans. Ind. Electron., 2019
Singularity Analysis of Cutting Force and Vibration for Tool Condition Monitoring in Milling.
IEEE Access, 2019
Parallel Velocity Control of an Electro-Hydraulic Actuator With Dual Disturbance Observers.
IEEE Access, 2019
2018
A Switched Controller Design for Supply Pressure Tracking of Variable Displacement Axial Piston Pumps.
IEEE Access, 2018
A novel energy efficient electro-hydraulic actuation system and its force control design.
Proceedings of the 3rd International Conference on Advanced Robotics and Mechatronics, 2018