Zhiguo Tan

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 16

Top Topics

Matrix Inversion

Top Venues

IEEE Trans. Ind. Informatics

Inf. Process. Lett.

Publications

Zhiguo Tan, Xing Zhang, Shuhua Teng, Ling Wang, Feng Gao
A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration. Sensors 24 (12) (2024)
Zhiguo Tan, Haishan Chen
Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations. J. Frankl. Inst. 360 (10) (2023)
Zhiguo Tan, Zhenlun Yang
Robustness Analysis of a Fixed-Time Convergent GNN for Online Solving Sylvester Equation and Its Application to Robot Path Tracking. IEEE Access 11 (2023)
Zhiguo Tan, Yueming Hu, Ke Chen
On the investigation of activation functions in gradient neural network for online solving linear matrix equation. Neurocomputing 413 (2020)
Zhiguo Tan, Lin Xiao, Siyuan Chen, Xuanjiao Lv
Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion. IEEE Trans. Ind. Informatics 16 (3) (2020)
Zhiguo Tan, Weibing Li, Lin Xiao, Yueming Hu
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. 31 (8) (2020)
Lin Xiao, Lei Jia, Jianhua Dai, Zhiguo Tan
Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances. Neurocomputing 415 (2020)
Weibing Li, Zhizhuo Su, Zhiguo Tan
A Variable-Gain Finite-Time Convergent Recurrent Neural Network for Time-Variant Quadratic Programming With Unknown Noises Endured. IEEE Trans. Ind. Informatics 15 (9) (2019)
Lin Xiao, Shuai Li, Faa-Jeng Lin, Zhiguo Tan, Ameer Hamza Khan
Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed. IEEE Trans. Ind. Informatics 15 (5) (2019)
Lin Xiao, Yongsheng Zhang, Kenli Li, Bolin Liao, Zhiguo Tan
A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion. Neurocomputing 331 (2019)
Xuanjiao Lv, Lin Xiao, Zhiguo Tan
Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving. Inf. Process. Lett. 147 (2019)
Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li
Nonlinear gradient neural network for solving system of linear equations. Inf. Process. Lett. 142 (2019)
Xuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang, Junying Yuan
Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank Matrix. Neural Process. Lett. 50 (2) (2019)
Zhiguo Tan, Yueming Hu, Lin Xiao, Ke Chen
Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion. IEEE Access 7 (2019)
Xuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang
Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation. Neurocomputing 314 (2018)
Jie He, Yuexiang Yang, Xiaolei Wang, Zhiguo Tan
Adaptive traffic sampling for P2P botnet detection. Int. J. Netw. Manag. 27 (5) (2017)
Yunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv
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. 57 (6-7) (2009)
Yunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen
A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states. IJCNN (2008)