Liang Hu

Orcid: 0000-0002-9635-4297

Affiliations:
  • 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 20 papers between 2013 and 2022.

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

Timeline

Legend:

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Bibliography

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

2020
Implicit Personalization in Driving Assistance: State-of-the-Art and Open Issues.
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

Text-Based Fusion Neural Network for Rumor Detection.
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

Attention-Residual Network with CNN for Rumor Detection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Event-based input and state estimation for linear discrete time-varying systems.
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
Non-fragile H∞ control with randomly occurring gain variations.
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


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