| Manipulability optimization of redundant manipulators using dynamic neural networks L Jin, S Li, HM La, X Luo IEEE Transactions on Industrial Electronics 64 (6), 4710-4720, 2017 | 299 | 2017 |
| Kinematic control of redundant manipulators using neural networks S Li, Y Zhang, L Jin IEEE transactions on neural networks and learning systems 28 (10), 2243-2254, 2016 | 263 | 2016 |
| Robot manipulator control using neural networks: A survey L Jin, S Li, J Yu, J He Neurocomputing 285, 23-34, 2018 | 220 | 2018 |
| Distributed task allocation of multiple robots: A control perspective L Jin, S Li IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 | 203 | 2018 |
| Design and analysis of FTZNN applied to the real-time solution of a nonstationary Lyapunov equation and tracking control of a wheeled mobile manipulator L Xiao, B Liao, S Li, Z Zhang, L Ding, L Jin IEEE Transactions on Industrial Informatics 14 (1), 98-105, 2017 | 189 | 2017 |
| Integration-enhanced Zhang neural network for real-time-varying matrix inversion in the presence of various kinds of noises L Jin, Y Zhang, S Li IEEE transactions on neural networks and learning systems 27 (12), 2615-2627, 2015 | 188 | 2015 |
| Modified ZNN for Time-Varying Quadratic Programming with Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators L Jin, Y Zhang, S Li, Y Zhang IEEE Transactions on Industrial Electronics, 2016 | 184 | 2016 |
| RNN models for dynamic matrix inversion: A control-theoretical perspective L Jin, S Li, B Hu IEEE Transactions on Industrial Informatics 14 (1), 189-199, 2017 | 177 | 2017 |
| Neural dynamics for cooperative control of redundant robot manipulators L Jin, S Li, X Luo, Y Li, B Qin IEEE Transactions on Industrial Informatics 14 (9), 3812-3821, 2018 | 167 | 2018 |
| Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach L Jin, Y Zhang, S Li, Y Zhang IEEE Transactions on Automatic Control, 2017 | 166 | 2017 |
| Cooperative motion generation in a distributed network of redundant robot manipulators with noises L Jin, S Li, L Xiao, R Lu, B Liao IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (10), 1715-1724, 2017 | 141 | 2017 |
| Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation L Jin, Y Zhang IEEE Transactions on Neural Networks and Learning Systems, 2014 | 138 | 2014 |
| Zeroing neural networks: A survey L Jin, S Li, B Liao, Z Zhang Neurocomputing 267, 597-604, 2017 | 136 | 2017 |
| A noise-suppressing neural algorithm for solving the time-varying system of linear equations: A control-based approach L Jin, S Li, B Hu, M Liu, J Yu IEEE Transactions on Industrial Informatics 15 (1), 236-246, 2018 | 135 | 2018 |
| RNN for solving perturbed time-varying underdetermined linear system with double bound limits on residual errors and state variables H Lu, L Jin, X Luo, B Liao, D Guo, L Xiao IEEE Transactions on Industrial Informatics 15 (11), 5931-5942, 2019 | 127 | 2019 |
| G2-type SRMPC scheme for synchronous manipulation of two redundant robot arms L Jin, Y Zhang IEEE Transactions on Cybernetics 45 (2), 153-164, 2014 | 123 | 2014 |
| Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach L Jin, S Li, HM La, X Zhang, B Hu Automatica 100, 75-81, 2019 | 109 | 2019 |
| TaylorDiscretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators B Liao, Y Zhang, L Jin IEEE transactions on neural networks and learning systems 27 (2), 225-237, 2015 | 107 | 2015 |
| Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization L Jin, Y Zhang Numerical Algorithms 73, 115-140, 2016 | 104 | 2016 |
| Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization Y Zhang, L Jin, D Guo, Y Yin, Y Chou Journal of Computational and Applied Mathematics 273, 29-40, 2015 | 103 | 2015 |
Bin HuLan Zhou University在 lzu.edu.cn 的电子邮件经过验证
