Hongbo Zhu
Orcid: 0000-0003-4013-3943Affiliations:
- Anhui University of Science and Technology, School of Electrical and Information Engineering, Huainan, China
- University of Science and Technology of China, Department of control science and engineering, Hefei, China (PhD 2017)
According to our database1,
Hongbo Zhu authored at least 13 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Mean-Shift-Based Outliers-Robust Distributed Kalman Filter for Wireless Sensor Network Systems.
IEEE Trans. Instrum. Meas., 2025
Mean-shift-based robust distributed set-membership fusion filtering for sensor network systems with outliers.
Autom., 2025
2023
A Recursive Robust Set-Membership Estimator for WSN-Assisted Moving Targets Tracking With UBB Anchor Location Uncertainty.
IEEE Trans. Veh. Technol., May, 2023
Environmentally Adaptive Event-Driven Robust Cubature Kalman Filter for RSS-Based Targets Tracking in Mobile Wireless Sensor Network.
IEEE Internet Things J., 2023
Trust-Based Distributed Set-Membership Filtering for Target Tracking Under Network Attacks.
IEEE Access, 2023
Trust-Based Distributed H<sub>∞</sub> Diffusion Filtering for Target Tracking Under Cyber Attacks.
IEEE Access, 2023
2022
Adaptive Event-Driven Robust Set-Membership Estimation for Received-Signal-Strength-Based Moving Targets Localization.
IEEE Internet Things J., 2022
2021
A Dynamic Variance-Based Triggering Scheme for Distributed Cooperative State Estimation over Wireless Sensor Networks.
Complex., 2021
2020
Hybrid Robust Sequential Fusion Estimation for WSN-Assisted Moving-Target Localization With Sensor-Node-Position Uncertainty.
IEEE Trans. Instrum. Meas., 2020
2018
Optimization-based gait planning and control for biped robots utilizing the optimal allowable ZMP variation region.
Ind. Robot, 2018
2017
2016
Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016
2015
Gait planning and control for biped robots based on modifiable key gait parameters from human motion analysis.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015