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Shu Li 0004
Person information
- affiliation: Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- affiliation (former): Liaoning University of Technology, College of Science, Jinzhou, China
Other persons with the same name
- Shu Li — disambiguation page
- Shu Li 0001
— Chinese Academy of Sciences, Institute of Psychology, Beijing, China (and 1 more)
- Shu Li 0002
- Shu Li 0003 — Tongji University, Department of Computer Science and Technology / MoE Key Laboratory of Embedded System and Service Computing, Shanghai, China
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2020 – today
- 2024
- [j20]Shu Li, Tao Ren, Liang Ding, Lei Liu:
Adaptive Finite-Time-Based Neural Optimal Control of Time-Delayed Wheeled Mobile Robotics Systems. Sensors 24(17): 5462 (2024) - [j19]Zheng Li
Event-Triggered Neural Control for Time-Varying Delay Switched Systems With Constraints Relate to Historical States Under Average Dwell Time. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1427-1437 (2024) - [j18]Shu Li
Neural Adaptive Optimal Control of Inequality-Constrained Nonlinear System With Partial Uncertain Time Delay. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4066-4076 (2024) - 2022
- [j17]Huanan Qi
Velocity Following Control of a Pseudo-Driven Wheel for Reducing Internal Forces Between Wheels. IEEE Robotics Autom. Lett. 7(2): 4337-4344 (2022) - [j16]Liang Ding
A 2-year locomotive exploration and scientific investigation of the lunar farside by the Yutu-2 rover. Sci. Robotics 7(62) (2022) - [j15]Shu Li
Adaptive Fuzzy Finite-Time Tracking Control for Nonstrict Full States Constrained Nonlinear System With Coupled Dead-Zone Input. IEEE Trans. Cybern. 52(2): 1138-1149 (2022) - 2021
- [j14]Liang Ding
Adaptive Neural Network-Based Finite-Time Online Optimal Tracking Control of the Nonlinear System With Dead Zone. IEEE Trans. Cybern. 51(1): 382-392 (2021) - [j13]Shu Li
Adaptive Neural Network-Based Finite-Time Tracking Control for Nonstrict Nonaffined MIMO Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4814-4824 (2021) - 2020
- [j12]Shu Li, Qingfan Wang
Adaptive NN-based finite-time tracking control for wheeled mobile robots with time-varying full state constraints. Neurocomputing 403: 421-430 (2020) - [j11]Shu Li
ADP-Based Online Tracking Control of Partially Uncertain Time-Delayed Nonlinear System and Application to Wheeled Mobile Robots. IEEE Trans. Cybern. 50(7): 3182-3194 (2020) - [j10]Liang Ding
Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain. IEEE Trans. Robotics 36(3): 894-909 (2020) - [j9]Liang Ding
Adaptive Partial Reinforcement Learning Neural Network-Based Tracking Control for Wheeled Mobile Robotic Systems. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2512-2523 (2020) - [j8]Shu Li
Reinforcement Learning Neural Network-Based Adaptive Control for State and Input Time-Delayed Wheeled Mobile Robots. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4171-4182 (2020)
2010 – 2019
- 2019
- [j7]Yan-Jun Liu
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input. IEEE Trans. Neural Networks Learn. Syst. 30(1): 295-305 (2019) - 2018
- [j6]Shu Li, Liang Ding, Haibo Gao, Chao Chen, Zhen Liu, Zongquan Deng:
Adaptive neural network tracking control-based reinforcement learning for wheeled mobile robots with skidding and slipping. Neurocomputing 283: 20-30 (2018) - [c1]Liang Ding, Shu Li, Haibo Gao, Ying Gao, Zongquan Deng:
Adaptive NN-Based Tracking Control for Partial Uncertain Time-Delayed WMR System. RCAR 2018: 118-123 - 2017
- [j5]Yan-Jun Liu
Neural Approximation-Based Adaptive Control for a Class of Nonlinear Nonstrict Feedback Discrete-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1531-1541 (2017) - [j4]Liang Ding
Adaptive Neural Network-Based Tracking Control for Full-State Constrained Wheeled Mobile Robotic System. IEEE Trans. Syst. Man Cybern. Syst. 47(8): 2410-2419 (2017) - 2016
- [j3]Shu Li, MingZhe Gong, Yan-Jun Liu
Neural network-based adaptive control for a class of chemical reactor systems with non-symmetric dead-zone. Neurocomputing 174: 597-604 (2016) - [j2]Dong-Juan Li, Jing Li, Shu Li:
Adaptive control of nonlinear systems with full state constraints using Integral Barrier Lyapunov Functionals. Neurocomputing 186: 90-96 (2016) - 2015
- [j1]Shu Li, Dapeng Li, Yan-Jun Liu
Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with unknown time-delay. Neurocomputing 168: 152-159 (2015)
Coauthor Index
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