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In-Hand Object Localization Using a Novel High-Resolution Visuotactile Sensor 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 6, 页码: 6015-6025
作者:  Cui, Shaowei;  Wang, Rui;  Hu, Jingyi;  Wei, Junhang;  Wang, Shuo;  Lou, Zheng
Adobe PDF(4222Kb)  |  收藏  |  浏览/下载：336/73  |  提交时间：2022/06/06
In-hand object localization  robotic manipulation  tactile sensor  
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：349/20  |  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)  
Adaptive-Critic-Based Robust Trajectory Tracking of Uncertain Dynamics and Its Application to a Spring-Mass-Damper System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 1, 页码: 654-663
作者:  Wang, Ding;  Mu, Chaoxu
收藏  |  浏览/下载：186/0  |  提交时间：2019/12/16
Adaptive critic design  neural networks  optimal control  robust trajectory tracking  self-learning control  system uncertainty  
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：396/131  |  提交时间：2018/03/03
Adaptive/approximate Dynamic Programming  Approximation  Discount Factor  Event-driven Control  Neural Networks  Optimal Regulation  Power System  
Event-Triggered Optimal Control for Partially Unknown Constrained-Input Systems via Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4101-4109
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo;  Ji, Junhong
浏览  |  Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：580/226  |  提交时间：2017/09/12
Actor-critic-identifier  Concurrent Learning  Constrained Input  Event-triggered (Et) Control  Hamilton-jacobi-bellman (Hjb) Equation  
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 5, 页码: 4110-4120
作者:  Wei, Qinglai;  Liu, Derong;  Lewis, Frank L.;  Liu, Yu;  Zhang, Jie
浏览  |  Adobe PDF(4866Kb)  |  收藏  |  浏览/下载：602/256  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Mixed Iteration  Optimal Control  Policy Iteration  Smart Grid  Value Iteration  
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 7, 页码: 5468-5478
作者:  Wei, Qinglai;  Shi, Guang;  Song, Ruizhuo;  Liu, Yu
浏览  |  Adobe PDF(3085Kb)  |  收藏  |  浏览/下载：447/156  |  提交时间：2017/02/23
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Energy Storage  Energy Storage System  Optimal Control  Solar Renewable Energy  
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：357/124  |  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  
Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2014, 卷号: 61, 期号: 11, 页码: 6399-6408
作者:  Wei, Qinglai;  Liu, Derong;  Derong Liu
浏览  |  Adobe PDF(664Kb)  |  收藏  |  浏览/下载：299/111  |  提交时间：2015/08/12
Adaptive Critic Designs  Adaptive Dynamic Programming (Adp)  Approximate Dynamic Programming  Approximation Errors  Data-driven Control  Neural Networks (Nns)  Optimal Control  Reinforcement Learning  Water-gas Shift (Wgs)