Zhiguo Tan

Orcid: 0000-0002-9450-9777

According to our database1, Zhiguo Tan authored at least 18 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration.
Sensors, June, 2024

2023
Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations.
J. Frankl. Inst., July, 2023

Robustness Analysis of a Fixed-Time Convergent GNN for Online Solving Sylvester Equation and Its Application to Robot Path Tracking.
IEEE Access, 2023

2020
New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion.
IEEE Trans. Neural Networks Learn. Syst., 2020

Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion.
IEEE Trans. Ind. Informatics, 2020

Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances.
Neurocomputing, 2020

On the investigation of activation functions in gradient neural network for online solving linear matrix equation.
Neurocomputing, 2020

2019
Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed.
IEEE Trans. Ind. Informatics, 2019

A Variable-Gain Finite-Time Convergent Recurrent Neural Network for Time-Variant Quadratic Programming With Unknown Noises Endured.
IEEE Trans. Ind. Informatics, 2019

Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank Matrix.
Neural Process. Lett., 2019

Nonlinear gradient neural network for solving system of linear equations.
Inf. Process. Lett., 2019

Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving.
Inf. Process. Lett., 2019

A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion.
Neurocomputing, 2019

Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion.
IEEE Access, 2019

2018
Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation.
Neurocomputing, 2018

2017
Adaptive traffic sampling for P2P botnet detection.
Int. J. Netw. Manag., 2017

2009
Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator's straight-line example.
Robotics Auton. Syst., 2009

2008
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states.
Proceedings of the International Joint Conference on Neural Networks, 2008


  Loading...