Xihong Fei
Orcid: 0000-0002-2820-8917
According to our database1,
Xihong Fei authored at least 16 papers
between 2019 and 2026.
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Bibliography
2026
Adaptive neural inverse optimal control for uncertain switched nonlinear systems: an improved predefined-time method.
J. Control. Decis., April, 2026
2-D Event-triggered Filtering of Markov Jump Roesser Systems Under Hidden Markov Model with Partial Information and Its Application.
Circuits Syst. Signal Process., March, 2026
Non-fragile H∞ dynamic event-triggered control of 2D hidden Markov jump systems with general probabilities and actuator saturation.
J. Frankl. Inst., 2026
BERTFD: A Two-Stage Multimodal Method for Bearing Fault Diagnosis Using Pre-Trained Language Models.
IEEE Internet Things J., 2026
2025
State estimation of two-time-scale Markov jump complex networks subject to general probabilities information and sensor nonlinearities.
Int. J. Control, August, 2025
Hidden Markov model-based event triggered H∞ filtering for singular Markov jump systems subject to general probabilities.
J. Frankl. Inst., 2025
Dynamic event triggering output feedback synchronization for Markov jump neural networks with mode detection information.
Neurocomputing, 2025
Unscented Kalman filter neural network with double-layer decomposition algorithm applied to the prediction of current efficiency in aluminum electrolysis processes.
Eng. Appl. Artif. Intell., 2025
2024
Secure Control of Discrete-Time Markov Jump Power Systems Under Hybrid Attacks Based on Mode Detection Information.
IEEE Trans. Circuits Syst. II Express Briefs, December, 2024
Multi-group consensus of multi-agent systems subject to semi-Markov jump topologies against hybrid cyber-attacks.
Inf. Sci., 2024
Comprehensive Performance Evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on Object Detection of Power Equipment.
CoRR, 2024
Intelligent Fault Diagnosis for Rotating Mechanical Systems: An Improved Multiscale Fuzzy Entropy and Support Vector Machine Algorithm.
Algorithms, 2024
A Predictive Tracking Control Algorithm for Initial Angle of Brushless DC Motor Based on Reinforcement Learning.
Proceedings of the 14th Asian Control Conference, 2024
2023
Attention-based global and local spatial-temporal graph convolutional network for vehicle emission prediction.
Neurocomputing, 2023
2021
Multi-Component Fusion Temporal Networks to Predict Vehicle Exhaust Based on Remote Monitoring Data.
IEEE Access, 2021
2019
IEEE Access, 2019