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Xuanjiao Lv
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2020 – today
- 2024
- [c3]Xuanjiao Lv, Jing Feng:
Nonlinear Functions Activated Gradient-based Neural Dynamics for Online Matrix Inversion. ICACI 2024: 177-181 - 2020
- [j5]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)
2010 – 2019
- 2019
- [j4]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) - [j3]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) - 2018
- [j2]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)
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
- [c2]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 - 2007
- [c1]Yunong Zhang, Xuanjiao Lv, Zhonghua Li, Zhi Yang:
Repetitive Motion Planning of Redundant Robots Based on LVI-Based Primal-Dual Neural Network and PUMA560 Example. LSMS (2) 2007: 536-545
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