Xiaolong Zheng

Orcid: 0000-0003-0369-7221

Affiliations:
  • Harbin Institute of Technology, School of Astronautics, Research Institute of Intelligent Control and Systems, China
  • Bohai University, College of Engineering, Liaoning, China (former)


According to our database1, Xiaolong Zheng authored at least 30 papers between 2015 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Dynamic gain-based neural network backstepping control with its applications to a quad-rotor hover.
Trans. Inst. Meas. Control, 2025

2024
Practical Finite-Time Command-Filtered Adaptive Backstepping With Its Applications to Quadrotor Hovers.
IEEE Trans. Cybern., May, 2024

Attitude Tracking Control for Quadrotors Under Unknown Disturbances Based on Dual-Loop Nonlinear Command Filters.
IEEE Trans. Circuits Syst. II Express Briefs, May, 2024

Practical Finite-Time Command Filtered Backstepping With its Application to DC Motor Control Systems.
IEEE Trans. Ind. Electron., March, 2024

Adaptive NN Zeta-Backstepping Control With Its Application to a Quadrotor Hover.
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024

Adaptive neural network backstepping control method for aerial manipulator based on coupling disturbance compensation.
J. Frankl. Inst., 2024

2023
Event-triggered adaptive NN practical finite-time control with its application to MPCVD reactors.
J. Frankl. Inst., February, 2023

Improved adaptive backstepping control of MPCVD reactor systems with non-parametric uncertainties.
J. Frankl. Inst., February, 2023

Practical finite-time command filtered backstepping control of MPCVD reactor systems with uncertainties.
J. Frankl. Inst., 2023

2022
Saturated Adaptive-Law-Based Backstepping and Its Applications to a Quadrotor Hover.
IEEE Trans. Ind. Electron., 2022

Adaptive Neural Network Backstepping Control Method for Aerial Manipulator Based on Variable Inertia Parameter Modeling.
CoRR, 2022

2021
Gradient Descent Algorithm-Based Adaptive NN Control Design for an Induction Motor.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2020
Adaptive NN Backstepping Control Design for a 3-DOF Helicopter: Theory and Experiments.
IEEE Trans. Ind. Electron., 2020

Command Filter and Universal Approximator Based Backstepping Control Design for Strict-Feedback Nonlinear Systems With Uncertainty.
IEEE Trans. Autom. Control., 2020

Improved adaptive NN backstepping control design for a perturbed PVTOL aircraft.
Neurocomputing, 2020

2018
SGD-Based Adaptive NN Control Design for Uncertain Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2018

Swing-Up and Stabilization Control Design for an Underactuated Rotary Inverted Pendulum System: Theory and Experiments.
IEEE Trans. Ind. Electron., 2018

Adaptive neural control of a 3-DOF helicopter with unknown time delay.
Neurocomputing, 2018

2017
Adaptive Neural Tracking Control for Switched High-Order Stochastic Nonlinear Systems.
IEEE Trans. Cybern., 2017

Distributed Consensus of Multiple Euler-Lagrange Systems Networked by Sampled-Data Information With Transmission Delays and Data Packet Dropouts.
IEEE Trans Autom. Sci. Eng., 2017

New Stability and Stabilization Conditions of Switched Systems with Mode-Dependent Average Dwell Time.
Circuits Syst. Signal Process., 2017

2016
Intelligent Tracking Control for a Class of Uncertain High-Order Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2016

Stabilization for a Class of Switched Nonlinear Systems With Novel Average Dwell Time Switching by T-S Fuzzy Modeling.
IEEE Trans. Cybern., 2016

Fuzzy Adaptive Control Design and Discretization for a Class of Nonlinear Uncertain Systems.
IEEE Trans. Cybern., 2016

2015
A Stochastic Sampling Consensus Protocol of Networked Euler-Lagrange Systems With Application to Two-Link Manipulator.
IEEE Trans. Ind. Informatics, 2015

Adaptive neural tracking control for a class of switched uncertain nonlinear systems.
Neurocomputing, 2015

Discussions on observer design of nonlinear positive systems via T-S fuzzy modeling.
Neurocomputing, 2015

Stability and l<sub>1</sub>-Gain Analysis for Switched Delay Positive Systems with Stable and Unstable Subsystems.
Circuits Syst. Signal Process., 2015

Adaptive tracking control for a class of uncertain switched nonlinear systems.
Autom., 2015

Adaptive tracking control for switched stochastic nonlinear systems with unknown actuator dead-zone.
Autom., 2015


  Loading...