| Adaptive neural network-based tracking control for full-state constrained wheeled mobile robotic system L Ding, S Li, YJ Liu, H Gao, C Chen, Z Deng IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 2410-2419, 2017 | 126 | 2017 |
| Adaptive partial reinforcement learning neural network-based tracking control for wheeled mobile robotic systems L Ding, S Li, H Gao, C Chen, Z Deng IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (7), 2512-2523, 2018 | 107 | 2018 |
| Adaptive reinforcement learning control based on neural approximation for nonlinear discrete-time systems with unknown nonaffine dead-zone input YJ Liu, S Li, S Tong, CLP Chen IEEE transactions on neural networks and learning systems 30 (1), 295-305, 2018 | 105 | 2018 |
| Adaptive neural network-based finite-time online optimal tracking control of the nonlinear system with dead zone L Ding, S Li, H Gao, YJ Liu, L Huang, Z Deng IEEE transactions on cybernetics 51 (1), 382-392, 2019 | 95 | 2019 |
| Adaptive control of nonlinear systems with full state constraints using integral barrier Lyapunov functionals DJ Li, J Li, S Li Neurocomputing 186, 90-96, 2016 | 94 | 2016 |
| Definition and application of variable resistance coefficient for wheeled mobile robots on deformable terrain L Ding, L Huang, S Li, H Gao, H Deng, Y Li, G Liu IEEE Transactions on Robotics 36 (3), 894-909, 2020 | 87 | 2020 |
| Adaptive neural network tracking control-based reinforcement learning for wheeled mobile robots with skidding and slipping S Li, L Ding, H Gao, C Chen, Z Liu, Z Deng Neurocomputing 283, 20-30, 2018 | 85 | 2018 |
| Neural approximation-based adaptive control for a class of nonlinear nonstrict feedback discrete-time systems YJ Liu, S Li, S Tong, CLP Chen IEEE Transactions on Neural Networks and Learning Systems 28 (7), 1531-1541, 2016 | 76 | 2016 |
| ADP-based online tracking control of partially uncertain time-delayed nonlinear system and application to wheeled mobile robots S Li, L Ding, H Gao, YJ Liu, L Huang, Z Deng IEEE transactions on cybernetics 50 (7), 3182-3194, 2019 | 63 | 2019 |
| A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover L Ding, R Zhou, Y Yuan, H Yang, J Li, T Yu, C Liu, J Wang, S Li, H Gao, ... Science Robotics 7 (62), eabj6660, 2022 | 54 | 2022 |
| Adaptive fuzzy finite-time tracking control for nonstrict full states constrained nonlinear system with coupled dead-zone input S Li, L Ding, H Gao, YJ Liu, L Huang, Z Deng IEEE Transactions on Cybernetics 52 (2), 1138-1149, 2020 | 45 | 2020 |
| Reinforcement learning neural network-based adaptive control for state and input time-delayed wheeled mobile robots S Li, L Ding, H Gao, YJ Liu, N Li, Z Deng IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (11), 4171-4182, 2018 | 40 | 2018 |
| Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints S Li, Q Wang, L Ding, X An, H Gao, Y Hou, Z Deng Neurocomputing 403, 421-430, 2020 | 32 | 2020 |
| Neural network-based adaptive control for a class of chemical reactor systems with non-symmetric dead-zone S Li, MZ Gong, YJ Liu Neurocomputing 174, 597-604, 2016 | 18 | 2016 |
| Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with unknown time-delay S Li, DP Li, YJ Liu Neurocomputing 168, 152-159, 2015 | 13 | 2015 |
| Fast neural network control of a pseudo-driven wheel on deformable terrain B You, H Qi, L Ding, S Li, L Huang, L Tian, H Gao Mechanical Systems and Signal Processing 152, 107478, 2021 | 10 | 2021 |
| Adaptive neural network-based finite-time tracking control for nonstrict nonaffined MIMO nonlinear systems S Li, X An, L Ding, Q Wang, H Gao, Y Hou, Z Deng IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (8), 4814-4824, 2019 | 10 | 2019 |
| Velocity following control of a pseudo-driven wheel for reducing internal forces between wheels H Qi, L Ding, B You, L Huang, X An, S Li, G Liu IEEE Robotics and Automation Letters 7 (2), 4337-4344, 2022 | 7 | 2022 |
| NN-Based Reinforcement Learning Optimal Control for Inequality-Constrained Nonlinear Discrete-Time Systems With Disturbances S Li, L Ding, M Zheng, Z Liu, X Li, H Yang, H Gao, Z Deng IEEE Transactions on Neural Networks and Learning Systems, 2023 | 6 | 2023 |
| Neural‐based online finite‐time optimal tracking control for wheeled mobile robotic system with inequality constraints L Ding, M Zheng, S Li, H Yang, H Gao, Z Deng Asian Journal of Control 26 (1), 297-311, 2024 | 4 | 2024 |
Liang DingProfessor in State Key Laboratory of Robotics and System, Harbin Institute of TechnologyBestätigte E-Mail-Adresse bei hit.edu.cn
