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Learning Control for Air Conditioning Systems via Human Expressions 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7662-7671
作者:  Wei, Qinglai;  Li, Tao;  Liu, Derong
Adobe PDF(1354Kb)  |  收藏  |  浏览/下载：267/18  |  提交时间：2021/06/15
Adaptive dynamic programming  air conditioning control  deep learning (DL)  deep Q-network (DQN)  human expressions  optimal control  reinforcement learning (RL)  Q-learning  
Adaptive-Neural-Network-Based Trajectory Tracking Control for a Nonholonomic Wheeled Mobile Robot With Velocity Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5057-5067
作者:  Chen, Ziyu;  Liu, Yang;  He, Wei;  Qiao, Hong;  Ji, Haibo
Adobe PDF(1673Kb)  |  收藏  |  浏览/下载：339/17  |  提交时间：2021/04/06
Mobile robots  Lyapunov methods  Adaptive systems  Artificial neural networks  Automation  Adaptive neural networks  barrier Lyapunov function (BLF)  velocity constraint  wheeled mobile robot (WMR)  
Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 4, 页码: 3599-3608
作者:  Wei, Qinglai;  Liao, Zehua;  Song, Ruizhuo;  Zhang, Pinjia;  Wang, Zhuo;  Xiao, Jun
Adobe PDF(3395Kb)  |  收藏  |  浏览/下载：420/48  |  提交时间：2021/03/02
Optimal control  Air conditioning  Load modeling  Neural networks  Dynamic programming  Predictive models  Adaptive dynamic programming (ADP)  cooling load prediction  ice-storage air conditioning (IAC)  neural network  optimal control  
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：310/0  |  提交时间：2019/12/16
Active suspension systems (ASSs)  adaptive control  barrier Lyapunov function (BLF)  neural networks (NNs)  
Vision-Based Target-Following Guider for Mobile Robot 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 期号: 12, 页码: 9360-9371
作者:  Zhang, Mingyi;  Liu, Xilong;  Xu, De;  Cao, Zhiqiang;  Yu, Junzhi
浏览  |  Adobe PDF(759Kb)  |  收藏  |  浏览/下载：546/162  |  提交时间：2019/06/21
Mobile robot  target following  target redetection  visual servo  
Event-Driven Nonlinear Discounted Optimal Regulation Involving a Power System Application 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 10, 页码: 8177-8186
作者:  Wang, Ding;  He, Haibo;  Zhong, Xiangnan;  Liu, Derong
浏览  |  Adobe PDF(1126Kb)  |  收藏  |  浏览/下载：387/127  |  提交时间：2018/03/03
Adaptive/approximate Dynamic Programming  Approximation  Discount Factor  Event-driven Control  Neural Networks  Optimal Regulation  Power System  
Intelligent Critic Control With Disturbance Attenuation for Affine Dynamics Including an Application to a Microgrid System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4935-4944
作者:  Wang, Ding;  He, Haibo;  Mu, Chaoxu;  Liu, Derong
Adobe PDF(728Kb)  |  收藏  |  浏览/下载：364/119  |  提交时间：2017/07/18
Adaptive/approximate Dynamic Programming  Adaptive Critic Control  Disturbance Attenuation  Intelligent Control  Neural Identification  Smart Microgrid  
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：792/289  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control  
A Novel Dual Iterative Q-Learning Method for Optimal Battery Management in Smart Residential Environments 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 4, 页码: 2509-2518
作者:  Wei, Qinglai;  Liu, Derong;  Shi, Guang;  Derong Liu
浏览  |  Adobe PDF(2146Kb)  |  收藏  |  浏览/下载：354/122  |  提交时间：2015/09/21
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Neural Networks  Optimal Control  Q-learning  Smart Grid