Yongjun He
Orcid: 0000-0002-5228-0302Affiliations:
- Hunan Normal University, Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China
- Jishou University, College of Information Science and Engineering, SChool of electronics and communication engineering, China
According to our database1,
Yongjun He
authored at least 33 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
A Nonlinear Noise-Resistant Zeroing Neural Network Model for Solving Time-Varying Quaternion Generalized Lyapunov Equation and Applications to Color Image Processing.
IEEE Trans. Neural Networks Learn. Syst., August, 2025
Noise-tolerant fixed-time leader-follower consensus controller design for multi-agent systems via fuzzy-neural-network.
Neural Comput. Appl., July, 2025
Two ZNN-Based Unified SMC Schemes for Finite/Fixed/Preassigned-Time Synchronization of Chaotic Systems.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2025
A Predefined-Time Robust Sliding Mode Control Based on Zeroing Neural Dynamics for Position and Attitude Tracking of Quadrotor.
IEEE Trans. Syst. Man Cybern. Syst., April, 2025
A Predefined-Time Adaptive Zeroing Neural Network for Solving Time-Varying Linear Equations and Its Application to UR5 Robot.
IEEE Trans. Neural Networks Learn. Syst., March, 2025
Efficient Predefined-Time Adaptive Neural Networks for Computing Time-Varying Tensor Moore-Penrose Inverse.
IEEE Trans. Neural Networks Learn. Syst., February, 2025
2024
A Dynamic Gain Fixed-Time Robust ZNN Model for Time-Variant Equality Constrained Quaternion Least Squares Problem With Applications to Multiagent Systems.
IEEE Trans. Neural Networks Learn. Syst., December, 2024
A Fuzzy Neural Network Approach to Adaptive Robust Nonsingular Sliding Mode Control for Predefined-Time Tracking of a Quadrotor.
IEEE Trans. Fuzzy Syst., December, 2024
A Fixed-Time Robust ZNN Model With Adaptive Parameters for Redundancy Resolution of Manipulators.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024
A Dynamic-Varying Parameter Enhanced ZNN Model for Solving Time-Varying Complex-Valued Tensor Inversion With Its Application to Image Encryption.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Predefined-Time Zeroing Neural Networks With Independent Prior Parameter for Solving Time-Varying Plural Lyapunov Tensor Equation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024
A Variable-Gain Fixed-Time Convergent and Robust ZNN Model for Image Fusion: Design, Analysis, and Verification.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
Comprehensive Study on Zeroing Neural Network With High-Order Evolutionary Formula, Nonlinear Functions, and Variable Parameter for Time-Changing Matrix Cholesky Decomposition.
IEEE Trans. Syst. Man Cybern. Syst., June, 2024
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems.
IEEE Trans. Ind. Informatics, 2024
Design and analysis of finite-time convergent complex-valued zeroing neural networks with application to time-variant complex matrix inversion.
Inf. Sci., 2024
2023
A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion.
IEEE Trans. Fuzzy Syst., November, 2023
A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator.
J. Frankl. Inst., November, 2023
J. Frankl. Inst., September, 2023
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location.
IEEE Trans. Ind. Informatics, June, 2023
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
2022
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Ind. Informatics, 2022
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations.
Knowl. Based Syst., 2022
A novel ZNN model for fast synchronisation of chaos systems with external disturbances.
Neurocomputing, 2022
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence.
Expert Syst. Appl., 2022
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning.
Appl. Soft Comput., 2022
2021
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2021
A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation.
IEEE Trans. Ind. Informatics, 2021
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations.
J. Comput. Appl. Math., 2021
2020
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving.
Math. Comput. Simul., 2020
A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020