Xiaowei Zhao

Orcid: 0000-0002-1182-4502

Affiliations:
  • University of Warwick, School of Engineering, Coventry, UK
  • University of Oxford, Department of Engineering Science, UK (former)
  • Imperial College London, Department of Electrical and Electronic Engineering, UK (former)


According to our database1, Xiaowei Zhao authored at least 47 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Novel Nussbaum Design for Nonlinear Systems With Unknown Switching Control Directions.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024

Parameter-Separable Prox-Lagrangian Method for Convex-Concave Saddle Point Problem.
IEEE Control. Syst. Lett., 2024

2023
Reinforcement Learning-Based Wind Farm Control: Toward Large Farm Applications via Automatic Grouping and Transfer Learning.
IEEE Trans. Ind. Informatics, December, 2023

Multi-H∞ Controls for Unknown Input-Interference Nonlinear System With Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Data-Based Optimal Microgrid Management for Energy Trading With Integral Q-Learning Scheme.
IEEE Internet Things J., September, 2023

Data-Driven Wind Farm Control via Multiplayer Deep Reinforcement Learning.
IEEE Trans. Control. Syst. Technol., May, 2023

A Multiagent Reinforcement Learning Approach for Wind Farm Frequency Control.
IEEE Trans. Ind. Informatics, 2023

Inverse-model-based iterative learning control for unknown MIMO nonlinear system with neural network.
Neurocomputing, 2023

2022
Reinforcement Learning-Based Structural Control of Floating Wind Turbines.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Optimal Tracking Control for Uncertain Nonlinear Systems With Prescribed Performance via Critic-Only ADP.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Stability Analysis and Performance Improvement of Power Sharing Control in Islanded Microgrids.
IEEE Trans. Smart Grid, 2022

Wind Farm Power Generation Control Via Double-Network-Based Deep Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022

Network Identification Using μ-PMU and Smart Meter Measurements.
IEEE Trans. Ind. Informatics, 2022

Wind-Farm Power Tracking Via Preview-Based Robust Reinforcement Learning.
IEEE Trans. Ind. Informatics, 2022

ADP-Based Spacecraft Attitude Control Under Actuator Misalignment and Pointing Constraints.
IEEE Trans. Ind. Electron., 2022

Composite Experience Replay-Based Deep Reinforcement Learning With Application in Wind Farm Control.
IEEE Trans. Control. Syst. Technol., 2022

Learning-Based Attitude Tracking Control With High-Performance Parameter Estimation.
IEEE Trans. Aerosp. Electron. Syst., 2022

Deep learning-based wind farm power prediction using Transformer network.
Proceedings of the European Control Conference, 2022

Intelligent Wind Farm Control via Grouping-Based Reinforcement Learning.
Proceedings of the European Control Conference, 2022

2021
Deep Neural Learning Based Distributed Predictive Control for Offshore Wind Farm Using High-Fidelity LES Data.
IEEE Trans. Ind. Electron., 2021

Reinforcement Learning-Based Approximate Optimal Control for Attitude Reorientation Under State Constraints.
IEEE Trans. Control. Syst. Technol., 2021

Learning-Based 6-DOF Control for Autonomous Proximity Operations Under Motion Constraints.
IEEE Trans. Aerosp. Electron. Syst., 2021

2020
Composite Hierarchical Pitch Angle Control for a Tidal Turbine Based on the Uncertainty and Disturbance Estimator.
IEEE Trans. Ind. Electron., 2020

2019
Autonomous Landing Control of Highly Flexible Aircraft Based on Lidar Preview in the Presence of Wind Turbulence.
IEEE Trans. Aerosp. Electron. Syst., 2019

Aeroelastic load control of large and flexible wind turbines through mechanically driven flaps.
J. Frankl. Inst., 2019

2018
Power Generation Control of a Monopile Hydrostatic Wind Turbine Using an ℋ<sub>∞</sub> Loop-Shaping Torque Controller and an LPV Pitch Controller.
IEEE Trans. Control. Syst. Technol., 2018

Aeroelastic and Trajectory Control of High Altitude Long Endurance Aircraft.
IEEE Trans. Aerosp. Electron. Syst., 2018

Strong stability of a coupled system composed of impedance-passive linear systems which may both have imaginary eigenvalues.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Preview-Based Altitude Control for a Very Flexible Flying Wing with Lidar Wind Measurements.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Automatic Landing Control of a Very Flexible Flying Wing.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Stability Properties of Coupled Impedance Passive LTI Systems.
IEEE Trans. Autom. Control., 2017

Trajectory control of a very flexible flying wing.
Proceedings of the 2017 American Control Conference, 2017

2016
Experimental Aerodynamic Control of a Long-Span Suspension Bridge Section Using Leading- and Trailing-Edge Control Surfaces.
IEEE Trans. Control. Syst. Technol., 2016

2015
Strong stabilization of the SCOLE model using a tuned mass damper.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

2014
Strong stabilisation of a wind turbine tower model in the plane of the turbine blades.
Int. J. Control, 2014

Experimental flutter and buffet suppression of a sectional suspended-bridge.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2011
Controllability and Observability of a Well-Posed System Coupled With a Finite-Dimensional System.
IEEE Trans. Autom. Control., 2011

Suppression of the vibrations of wind turbine towers.
IMA J. Math. Control. Inf., 2011

Well-posedness and controllability of a wind turbine tower model.
IMA J. Math. Control. Inf., 2011

Buffet suppression in long-span suspension bridges.
Annu. Rev. Control., 2011

Flutter control of long-span suspension bridges.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Well-posedness, regularity and exact controllability of the SCOLE model.
Math. Control. Signals Syst., 2010

Exact controllability of a wind turbine tower model in the plane of the turbine blades.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Well-posedness and generic exact controllability of coupled systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Well-Posedness and Controllability of a Class of Coupled Linear Systems.
SIAM J. Control. Optim., 2009

Strong stabilization of a wind turbine tower model.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Controllability and observability of coupled systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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