Xin Hu
Orcid: 0000-0001-9043-9639Affiliations:
- Ludong University, School of Mathematics and Statistics Science, Yantai, China
- Dalian Maritime University, School of Information Science and Technology, China (PhD 2018)
According to our database1,
Xin Hu
authored at least 29 papers
between 2015 and 2024.
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Bibliography
2024
Finite-Time Extended Dissipative Fault Estimate for Discrete-Time Markov Jumping Neural Networks Based on an Event-Triggered Approach.
Circuits Syst. Signal Process., November, 2024
Extended Dissipative Finite-Time Distributed Time-Varying Delay Active Fault-Tolerant Consensus Control for Semi-Markov Jump Nonlinear Multi-Agent Systems.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2024
Finite-time event-triggered control for stochastic systems with multiple disturbances.
J. Syst. Control. Eng., March, 2024
2023
Optimal Fuzzy Output Feedback Control for Dynamic Positioning of Vessels With Finite-Time Disturbance Rejection Under Thruster Saturations.
IEEE Trans. Fuzzy Syst., October, 2023
Int. J. Control, September, 2023
Finite-time control for systems with multiple disturbances based on adaptive disturbance observer.
J. Syst. Control. Eng., July, 2023
Dynamic Event-Triggered Adaptive Formation With Disturbance Rejection for Marine Vehicles Under Unknown Model Dynamics.
IEEE Trans. Veh. Technol., May, 2023
Simple Dynamic Positioning Control Design for Surface Vessels With Input Saturation and External Disturbances.
IEEE Trans. Circuits Syst. II Express Briefs, April, 2023
Disturbance observer-based finite-time control for a class of systems with multiple heterogeneous disturbances.
Trans. Inst. Meas. Control, 2023
Adaptive adjustable dimension observer based fault estimation for switched fuzzy systems with unmeasurable premise variables.
Fuzzy Sets Syst., 2023
2022
Event-Triggered Adaptive Fuzzy Setpoint Regulation of Surface Vessels With Unmeasured Velocities Under Thruster Saturation Constraints.
IEEE Trans. Intell. Transp. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Adaptive Fuzzy Backstepping Asymptotic Disturbance Rejection of Multiagent Systems With Unknown Model Dynamics.
IEEE Trans. Fuzzy Syst., 2022
Finite-time control design for course tracking of disturbed ships subject to input saturation.
Int. J. Control, 2022
Prescribed performance trajectory tracking fault-tolerant control for dynamic positioning vessels under velocity constraints.
Appl. Math. Comput., 2022
2021
Appl. Math. Comput., 2021
Adjustable dimension descriptor observer based fault estimation of nonlinear system with unknown input.
Appl. Math. Comput., 2021
Composite Disturbance Observer-Based Backstepping Tracking for Unmanned Surface Vessel.
Proceedings of the 2021 International Conference on Security, 2021
2020
Adaptive Robust Nonlinear Control Design for Course Tracking of Ships Subject to External Disturbances and Input Saturation.
IEEE Trans. Syst. Man Cybern. Syst., 2020
Elegant anti-disturbance control for stochastic systems with multiple heterogeneous disturbances based on fuzzy logic systems.
Trans. Inst. Meas. Control, 2020
Adaptive nonlinear disturbance observer-based control for stochastic systems with multiple heterogeneous disturbances.
Trans. Inst. Meas. Control, 2020
Intermediate variable observer based fault estimation and fault-tolerant control for nonlinear stochastic system with exogenous disturbance.
J. Frankl. Inst., 2020
Disturbance observer-based elegant anti-disturbance saturation control for a class of stochastic systems.
Int. J. Control, 2020
2019
Adaptive Fault Estimation and Fault-Tolerant Control for Nonlinear System With Unknown Nonlinear Dynamic.
IEEE Access, 2019
Proceedings of the CAA Symposium on Fault Detection, 2019
2018
Robust adaptive NN control of dynamically positioned vessels under input constraints.
Neurocomputing, 2018
Synchronisation control for ships in underway replenishment based on dynamic surface control.
Int. J. Autom. Control., 2018
2016
Autom., 2016
2015
Adaptive Robust Output Feedback Control for a Marine Dynamic Positioning System Based on a High-Gain Observer.
IEEE Trans. Neural Networks Learn. Syst., 2015