Linju Li

Orcid: 0009-0006-0410-9603

According to our database1, Linju Li authored at least 12 papers between 2023 and 2025.

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

Timeline

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Bibliography

2025
Uncalibrated Model-Free Visual Servo Control for Robotic Endoscopic with RCM Constraint Using Neural Networks.
IEEE Trans. Cybern., September, 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 Novel Neural Dynamics Controller for Weakening the Chaos of Permanent Magnet Synchronous Generator and Its Extended Application.
IEEE Trans. Cybern., May, 2025

A survey on zeroing neural dynamics: models, theories, and applications.
Int. J. Syst. Sci., 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

Adaptive zeroing neural dynamics-based cascaded control scheme for trajectory tracking of wheeled unmanned ground vehicles.
Neurocomputing, 2025

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

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 New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application.
IEEE Trans. Cybern., February, 2024

A Fixed-Time Robust Controller Based on Zeroing Neural Dynamics for Projective Synchronization of Offshore Wind Turbine Systems.
IEEE Trans. Ind. Informatics, 2024

A Novel Predefined-Time Neural Dynamics Model with Time-Base Generator for Nonlinear Equation Flows.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

2023
A predefined-time and anti-noise varying-parameter ZNN model for solving time-varying complex Stein equations.
Neurocomputing, March, 2023


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