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Force Sensorless Admittance Control With Neural Learning for Robots With Actuator Saturation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 卷号: 67, 期号: 4, 页码: 3138-3148
作者:  Peng, Guangzhu;  Yang, Chenguang;  He, Wei;  Chen, C. L. Philip
收藏  |  浏览/下载：220/0  |  提交时间：2020/03/30
Robot sensing systems  Admittance  Manipulators  Force  Torque  Adaptation models  Adaptive neural control  admittance control  neural networks (NNs)  observer  
Adaptive Neural Network Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9458-9466
作者:  Liu, Yan-Jun;  Zeng, Qiang;  Tong, Shaocheng;  Chen, C. L. Philip;  Liu, Lei
收藏  |  浏览/下载：259/0  |  提交时间：2019/12/16
Active suspension systems (ASSs)  adaptive control  barrier Lyapunov function (BLF)  neural networks (NNs)  
Neural Adaptive Event-Triggered Control for Nonlinear Uncertain Stochastic Systems With Unknown Hysteresis 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 11, 页码: 3300-3312
作者:  Wang, Jianhui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载：244/0  |  提交时间：2020/03/30
Actuators  Hysteresis  Nonlinear systems  Artificial neural networks  Adaptive systems  Stochastic systems  System performance  Actuator failure  adaptive control  event-triggered  neural networks (NNs)  stochastic nonlinear systems  unknown direction hysteresis  
Optimized Adaptive Nonlinear Tracking Control Using Actor-Critic Reinforcement Learning Strategy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 期号: 9, 页码: 4969-4977
作者:  Wen, Guoxing;  Chen, C. L. Philip;  Ge, Shuzhi Sam;  Yang, Hongli;  Liu, Xiaoguang
收藏  |  浏览/下载：206/0  |  提交时间：2019/12/16
Lyapunov function  neural networks (NNs)  nonlinear systems  optimized tracking control  reinforcement learning (RL) of actor-critic architecture  
Adaptive Reinforcement Learning Control Based on Neural Approximation for Nonlinear Discrete-Time Systems With Unknown Nonaffine Dead-Zone Input 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 1, 页码: 295-305
作者:  Liu, Yan-Jun;  Li, Shu;  Tong, Shaocheng;  Chen, C. L. Philip
收藏  |  浏览/下载：288/0  |  提交时间：2019/07/12
Discrete-time systems  neural networks (NNs)  nonlinear systems  optimal control  reinforcement learning