Xinghui Yin
According to our database1,
Xinghui Yin
authored at least 17 papers
between 2018 and 2024.
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Bibliography
2024
A low-light image enhancement model based on anisotropic weighted exponential local derivatives.
Digit. Signal Process., 2024
2023
Wirel. Pers. Commun., February, 2023
2022
Sensors, 2022
Proceedings of the International Conference on Artificial Intelligence, 2022
2021
Adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics.
Trans. Inst. Meas. Control, 2021
Adaptive neural output-feedback control for a class of output-constrained switched stochastic nonlinear systems.
Int. J. Syst. Sci., 2021
Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input.
Int. J. Syst. Sci., 2021
2020
Adaptive finite-time prescribed performance control of switched nonlinear systems with unknown actuator dead-zone.
Int. J. Syst. Sci., 2020
BLF-based adaptive DSC for a class of stochastic nonlinear systems of full state constraints with time delay and hysteresis input.
Neurocomputing, 2020
Variable step-size matching pursuit based on oblique projection for compressed sensing.
IET Image Process., 2020
2019
Underwater salient object detection jointly using improved spectral residual and Fuzzy c-Means.
J. Intell. Fuzzy Syst., 2019
Neural network based adaptive dynamic surface control of nonaffine nonlinear systems with time delay and input hysteresis nonlinearities.
Neurocomputing, 2019
Neural Networks-Based Adaptive Tracking Control for a Class of High-Order Stochastic Nonlinear Time-Delay Systems.
IEEE Access, 2019
2018
Disturbance observer based adaptive neural control of uncertain MIMO nonlinear systems with unmodeled dynamics.
Neurocomputing, 2018
Disturbance observer based adaptive neural prescribed performance control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis.
Neurocomputing, 2018
Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer.
Neurocomputing, 2018