Zhiguo Tan

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration.

Zhiguo Tan, Xing Zhang, Shuhua Teng, Ling Wang, Feng Gao

Sensors, June, 2024

2023

Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations.

Zhiguo Tan, Haishan Chen

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.

Zhiguo Tan, Zhenlun Yang

IEEE Access, 2023

2020

New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion.

Zhiguo Tan, Weibing Li, Lin Xiao, Yueming Hu

IEEE Trans. Neural Networks Learn. Syst., 2020

Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion.

Zhiguo Tan, Lin Xiao, Siyuan Chen, Xuanjiao Lv

IEEE Trans. Ind. Informatics, 2020

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

Lin Xiao, Lei Jia, Jianhua Dai, Zhiguo Tan

Neurocomputing, 2020

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

Zhiguo Tan, Yueming Hu, Ke Chen

Neurocomputing, 2020

2019

Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed.

Lin Xiao, Shuai Li, Faa-Jeng Lin, Zhiguo Tan, Ameer Hamza Khan

IEEE Trans. Ind. Informatics, 2019

A Variable-Gain Finite-Time Convergent Recurrent Neural Network for Time-Variant Quadratic Programming With Unknown Noises Endured.

Weibing Li, Zhizhuo Su, Zhiguo Tan

IEEE Trans. Ind. Informatics, 2019

Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank Matrix.

Xuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang, Junying Yuan

Neural Process. Lett., 2019

Nonlinear gradient neural network for solving system of linear equations.

Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li

Inf. Process. Lett., 2019

Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving.

Xuanjiao Lv, Lin Xiao, Zhiguo Tan

Inf. Process. Lett., 2019

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

Lin Xiao, Yongsheng Zhang, Kenli Li, Bolin Liao, Zhiguo Tan

Neurocomputing, 2019

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

Zhiguo Tan, Yueming Hu, Lin Xiao, Ke Chen

IEEE Access, 2019

2018

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

Xuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang

Neurocomputing, 2018

2017

Adaptive traffic sampling for P2P botnet detection.

Jie He, Yuexiang Yang, Xiaolei Wang, Zhiguo Tan

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.

Yunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv

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.

Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen

Proceedings of the International Joint Conference on Neural Networks, 2008