Liang Hu
Orcid: 0000-0002-9635-4297Affiliations:
- De Montfort University, School of Computer Science and Informatics, Leicester, UK
- Loughborough University, Department of Aeronautical and Automotive Engineering, UK (2017 - 2018)
- Queen's University Belfast, School of Electronics, Electrical Engineering and Computer Science, UK (2016 - 2017)
- Brunel University, Department of Computer Science, Uxbridge, UK (PhD 2016)
According to our database1,
Liang Hu
authored at least 25 papers
between 2013 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., November, 2024
IEEE Robotics Autom. Lett., November, 2024
2022
Adaptive model predictive control for an omnidirectional mobile robot with friction compensation and incremental input constraints.
Trans. Inst. Meas. Control, 2022
Active Disturbance Rejection Control of Euler-Lagrange Systems Exploiting Internal Damping.
IEEE Trans. Cybern., 2022
Distributed Nash Equilibrium Seeking Over Markovian Switching Communication Networks.
IEEE Trans. Cybern., 2022
State Estimation Under Joint False Data Injection Attacks: Dealing With Constraints and Insecurity.
IEEE Trans. Autom. Control., 2022
2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
IEEE Trans. Intell. Veh., 2020
A Multiobjective Optimization Approach for COLREGs-Compliant Path Planning of Autonomous Surface Vehicles Verified on Networked Bridge Simulators.
IEEE Trans. Intell. Transp. Syst., 2020
Output Feedback Stabilization for MIMO Semi-linear Stochastic Systems with Transient Optimisation.
Int. J. Autom. Comput., 2020
An EKF-Based Performance Enhancement Scheme for Stochastic Nonlinear Systems by Dynamic Set-Point Adjustment.
IEEE Access, 2020
2019
Robust Predictive Speed Regulation of Converter-Driven DC Motors via a Discrete-Time Reduced-Order GPIO.
IEEE Trans. Ind. Electron., 2019
Proceedings of the Knowledge Science, Engineering and Management, 2019
Entropy-based Extended Kalman Filtering for Stochastic Non-linear Systems with Polynomial Compensation.
Proceedings of the 25th International Conference on Automation and Computing, 2019
A Deep Learning Approach for Classifying Patient Attendance Disposal from Emergency Departments.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
2018
Int. J. Control, 2018
State estimation under false data injection attacks: Security analysis and system protection.
Autom., 2018
Output Feedback Stabilization for Dynamic MIMO Semi-linear Stochastic Systems with Output Randomness Attenuation.
Proceedings of the 24th International Conference on Automation and Computing, 2018
2016
Dynamic State Estimation of Power Systems With Quantization Effects: A Recursive Filter Approach.
IEEE Trans. Neural Networks Learn. Syst., 2016
A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements.
IEEE Trans. Control. Syst. Technol., 2016
2014
Proceedings of the 20th International Conference on Automation and Computing, 2014
2013
A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.
Proceedings of the 2013 19th International Conference on Automation and Computing, 2013