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A novel energy management method for multiple residential energy systems with energy exchange 期刊论文
NEUROCOMPUTING, 2024, 卷号: 575, 页码: 9
作者:  Li, Hongyang;  Wei, Qinglai
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/03
Energy management  Multiple residential energy systems  Energy optimization of batteries  Action-dependent heuristic dynamic  programming (ADHDP)  
Supervised assisted deep reinforcement learning for emergency voltage control of power systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 475, 页码: 69-79
作者:  Li, Xiaoshuang;  Wang, Xiao;  Zheng, Xinhu;  Dai, Yuxin;  Yu, Zhihong;  Zhang, Jun Jason;  Bu, Guangquan;  Wang, Fei-Yue
Adobe PDF(2551Kb)  |  收藏  |  浏览/下载：362/77  |  提交时间：2022/06/06
Deep reinforcement learning  Behavioral cloning  Dynamic demonstration  Emergency control  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：382/143  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：658/243  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks  
Centralized and decentralized event-triggered control for group consensus with fixed topology in continuous time 期刊论文
NEUROCOMPUTING, 2015, 卷号: 161, 页码: 267-276
作者:  Ma, Hongwen;  Liu, Derong;  Wang, Ding;  Tan, Fuxiao;  Li, Chao
Adobe PDF(791Kb)  |  收藏  |  浏览/下载：707/234  |  提交时间：2015/09/23
Centralized Control  Decentralized Control  Event-triggered  Fixed Topology  Group Consensus  Multi-agent Systems