Xuanjiao Lv - researchr alias

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Viewing Publication 1 - 7 from 7

2020

Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose InversionZhiguo Tan, Lin Xiao, Siyuan Chen, Xuanjiao Lv. tii, 16(3):1591-1601, 2020. [doi]

2019

Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solvingXuanjiao Lv, Lin Xiao, Zhiguo Tan. ipl, 147:88-93, 2019. [doi]

Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank MatrixXuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang, Junying Yuan. npl, 50(2):1993-2005, 2019. [doi]

2018

Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equationXuanjiao Lv, Lin Xiao, Zhiguo Tan, Zhi Yang. ijon, 314:310-315, 2018. [doi]

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 exampleYunong Zhang, Zhiguo Tan, Ke Chen, Zhi Yang, Xuanjiao Lv. ras, 57(6-7):645-651, 2009. [doi]

2008

A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial statesYunong Zhang, Zhiguo Tan, Zhi Yang, Xuanjiao Lv, Ke Chen. ijcnn 2008: 19-24 [doi]

2007

Repetitive Motion Planning of Redundant Robots Based on LVI-Based Primal-Dual Neural Network and PUMA560 ExampleYunong Zhang, Xuanjiao Lv, Zhonghua Li, Zhi Yang. lsms 2007: 536-545 [doi]

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