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Spiking Adaptive Dynamic Programming with Poisson Process 会议论文
, 中国山东省青岛市, 2021-07-18
作者:  Wei QL(魏庆来);  Han LY(韩立元);  Zhang TL(张铁林)
Adobe PDF(2334Kb)  |  收藏  |  浏览/下载：54/17  |  提交时间：2024/05/28
Adaptive Event-triggered Tracking Control for A Manipulator Based on Dynamic Neural Network 会议论文
, 重庆, 2021-7
作者:  Gao jie;  Zhang xiaodong;  Qiao hong
Adobe PDF(3222Kb)  |  收藏  |  浏览/下载：216/72  |  提交时间：2022/06/14
Learning Smooth and Omnidirectional Locomotion for Quadruped Robots 会议论文
, Chongqing, China, 2021-7
作者:  Wu, Jiaxi;  Wang, Chen'an;  Zhang, Dianmin;  Zhong, Shanlin;  Wang, Boxing;  Qiao, Hong
Adobe PDF(1436Kb)  |  收藏  |  浏览/下载：219/58  |  提交时间：2022/06/14
Quadruped Robot  Reinforcement Learning  
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
Adobe PDF(2904Kb)  |  收藏  |  浏览/下载：239/16  |  提交时间：2022/01/27
Maximum likelihood estimation (MLE)  Nonlinear systems  Optimal control  Poisson process  Spike train  Spiking Adaptive dynamic programming（SADP）  
Generalized Actor-Critic Learning Optimal Control in Smart Home Energy Management 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 10, 页码: 6614-6623
作者:  Wei, Qinglai;  Liao, Zehua;  Shi, Guang
Adobe PDF(1229Kb)  |  收藏  |  浏览/下载：290/38  |  提交时间：2021/11/02
Optimal control  Process control  Smart homes  Dynamic programming  Numerical models  Iterative methods  Informatics  Actor-critic learning  adaptive critic designs  adaptive dynamic programming (ADP)  approximate dynamic programming  energy management  optimal control  smart grid  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：257/62  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning