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Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 9
作者:  Zhang, Jiaming;  Niu, Ben;  Wang, Ding;  Wang, Huanqing;  Duan, Peiyong;  Zong, Guangdeng
收藏  |  浏览/下载：212/0  |  提交时间：2022/01/27
Nonlinear systems  Artificial neural networks  Design methodology  Adaptive control  Time-varying systems  Fuzzy logic  Backstepping  Asymptotic tracking control  neural networks (NN)  nonlinear mapping (NM)  nonstrict feedback structure  time-varying full-state constraints  uncertain nonlinear system  
Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4231-4242
作者:  Yang, Chenguang;  Huang, Dianye;  He, Wei;  Cheng, Long
收藏  |  浏览/下载：250/0  |  提交时间：2021/11/03
Manipulators  Lyapunov methods  Robot kinematics  Trajectory tracking  Automation  Barrier Lyapunov function (BLF)  constrained control  input saturation  robot manipulator  
A Vibration Control Method for Hybrid-Structured Flexible Manipulator Based on Sliding Mode Control and Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 841-852
作者:  Long, Teng;  Li, En;  Hu, Yunqing;  Yang, Lei;  Fan, Junfeng;  Liang, Zize;  Guo, Rui
收藏  |  浏览/下载：221/0  |  提交时间：2021/03/29
Vibrations  Mathematical model  Manipulator dynamics  Torque  Robustness  Neural networks  Hybrid-structured flexible manipulator  reinforcement learning  sliding mode control  vibration control method