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2020 – today
- 2024
[j17]Zhiguo Tan, Xing Zhang, Shuhua Teng, Ling Wang, Feng Gao:
A Review of Deep Learning-Based LiDAR and Camera Extrinsic Calibration. Sensors 24(12): 3878 (2024)- 2023
- [j16]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: 101873-101880 (2023) - [j15]Zhiguo Tan, Haishan Chen:
Nonlinear function activated GNN versus ZNN for online solution of general linear matrix equations. J. Frankl. Inst. 360(10): 7021-7036 (2023) - 2020
- [j14]Zhiguo Tan, Yueming Hu, Ke Chen:
On the investigation of activation functions in gradient neural network for online solving linear matrix equation. Neurocomputing 413: 185-192 (2020) - [j13]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: 174-183 (2020) - [j12]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): 1591-1601 (2020) - [j11]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): 2980-2992 (2020)
2010 – 2019
- 2019
- [j10]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: 33434-33440 (2019) - [j9]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: 483-492 (2019) - [j8]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: 35-40 (2019) - [j7]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: 88-93 (2019) - [j6]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): 1993-2005 (2019) - [j5]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): 2605-2616 (2019) - [j4]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): 5330-5340 (2019) - 2018
- [j3]Xuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang:
Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation. Neurocomputing 314: 310-315 (2018) - 2017
- [j2]Jie He, Yuexiang Yang, Xiaolei Wang, Zhiguo Tan:
Adaptive traffic sampling for P2P botnet detection. Int. J. Netw. Manag. 27(5) (2017)
2000 – 2009
- 2009
- [j1]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): 645-651 (2009) - 2008
- [c1]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: 19-24
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