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CASIA OpenIR
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Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Wei, Qinglai;  Han, Liyuan;  Zhang, Tielin
收藏  |  浏览/下载：18/0  |  提交时间：2024/03/27
Task analysis  Neurons  Trajectory  Behavioral sciences  Dynamic programming  Control theory  Biology  Direct dynamic programming (DDP)  Lorenz system  multiscale dynamics  point-to-point control  recursive least square (RLS)  spiking neural network (SNN)  
Robust Optimal Parallel Tracking Control Based on Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 页码: 14
作者:  Wei, Qinglai;  Jiao, Shanshan;  Wang, Fei-Yue;  Dong, Qi
收藏  |  浏览/下载：103/0  |  提交时间：2023/12/21
Optimal control  Control systems  Uncertainty  Robust control  Performance analysis  Dynamic programming  Uncertain systems  ADP  NN  nonlinear robust optimal control  parallel control  tracking control  
Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai
收藏  |  浏览/下载：78/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13
作者:  Wang, Ruigang;  Wang, Zhuo;  Liu, Sixun;  Li, Tao;  Li, Feng;  Qin, Bodong;  Wei, Qinglai
收藏  |  浏览/下载：53/0  |  提交时间：2023/11/17
3-D spin polarization control (3DSPC)  adaptive dynamic programming (ADP)  asymmetric input constraint  multicritic multiaction neural networks (MCMANNs)  multiphysics  multiplayer nonzero-sum game (MP-NZSG)  spin-exchange relaxation-free (SERF).  
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 4, 页码: 2821-2831
作者:  Lu, Jingwei;  Han, Liyuan;  Wei, Qinglai;  Wang, Xiao;  Dai, Xingyuan;  Wang, Fei-Yue
收藏  |  浏览/下载：84/0  |  提交时间：2023/11/17
Autonomous vehicles  Decision making  Path planning  Training  Optimal control  Deep learning  Complex systems  Autonomous driving  deep reinforcement learning  deep Q-network  event-triggered control  parallel control  
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems 期刊论文
Expert Systems with Applications, 2022, 页码: 117883
作者:  Wei Qinglai;  Wang Xin;  Liu Yu;  Xiong Gang
Adobe PDF(2135Kb)  |  收藏  |  浏览/下载：146/52  |  提交时间：2023/05/23
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 12
作者:  Wei, Qinglai;  Yan, Yutian;  Zhang, Jie;  Xiao, Jun;  Wang, Cong
收藏  |  浏览/下载：215/0  |  提交时间：2023/01/09
Automated guided vehicle (AGV) dispatching  deep learning  reinforcement learning (RL)  self-attention  
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems 期刊论文
NEUROCOMPUTING, 2022, 卷号: 507, 页码: 282-291
作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian
收藏  |  浏览/下载：211/0  |  提交时间：2022/09/19
Reinforcement learning  Adaptive dynamic programming (ADP)  UAV control  Monte Carlo simulation  Neural networks  
Parallel cognition: hybrid intelligence for human-machine interaction and management 期刊论文
FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2022, 页码: 15
作者:  Ye, Peijun;  Wang, Xiao;  Zheng, Wenbo;  Wei, Qinglai;  Wang, Fei-Yue
收藏  |  浏览/下载：208/0  |  提交时间：2022/09/19
Cognitive learning  Artificial intelligence  Behavioral prescription  TP181  
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:  Yang, Xiong;  Xu, Mengmeng;  Wei, Qinglai
收藏  |  浏览/下载：224/0  |  提交时间：2022/07/25
Asymptotic stability  Interconnected systems  Decentralized control  Closed loop systems  Artificial neural networks  Optimal control  Nonlinear dynamical systems  Adaptive dynamic programming (ADP)  decentralized control  event-based control  interconnected system  reinforcement learning (RL)