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A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2024, 页码: 14
作者:  Jiao, Shanshan;  Wei, Qinglai;  Wang, Fei-Yue
收藏  |  浏览/下载：6/0  |  提交时间：2024/07/22
Consensus control  Optimal control  Performance analysis  Vectors  Heuristic algorithms  Multi-agent systems  Dynamic programming  Adaptive dynamic programming (ADP)  coupled Hamilton-Jacobi  optimal consensus control  parallel control  
Integrating Incentive Factors in the Optimization for Bidirectional Charging of Electric Vehicles 期刊论文
IEEE TRANSACTIONS ON POWER SYSTEMS, 2024, 卷号: 39, 期号: 2, 页码: 4105-4116
作者:  Li, Shuangqi;  Zhao, Pengfei;  Gu, Chenghong;  Bu, Siqi;  Li, Jianwei;  Cheng, Shuang
收藏  |  浏览/下载：7/0  |  提交时间：2024/07/22
Electric vehicle  vehicle grid integration  smart charging  incentivized strategy  renewable energy  battery aging  cost-benefit analysis  
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/03
Adaptive dynamic programming  nonlinear systems  online learning  optimal control  reinforcement learning (RL)  
Boosting On-Policy Actor-Critic With Shallow Updates in Critic 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 10
作者:  Li, Luntong;  Zhu, Yuanheng
收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03
Artificial neural networks  Vectors  Task analysis  Training  Representation learning  Approximation algorithms  Optimization  Actor-critic  deep reinforcement learning (DRL)  proximal policy optimization (PPO)  shallow reinforcement learning (SRL)  
Quadrupedal Locomotion in an Energy-efficient Way Based on Reinforcement Learning 期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 11
作者:  Hao, Tiantian;  Xu, De;  Yan, Shaohua
收藏  |  浏览/下载：16/0  |  提交时间：2024/07/03
Energy-efficient motion  quadruped robot  reinforcement learning  virtual model control  
Modeling and Mitigating the Cycle Aging Cost of Vehicle Batteries in Energy Transportation Nexus 期刊论文
IEEE TRANSACTIONS ON SMART GRID, 2024, 卷号: 15, 期号: 2, 页码: 1902-1912
作者:  Li, Shuangqi;  Zhao, Pengfei;  Gu, Chenghong;  Bu, Siqi;  Li, Jianwei;  Cheng, Shuang
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/03
Batteries  Aging  Degradation  Energy management  Mathematical models  Vehicle-to-grid  Computational modeling  Electric vehicle  battery management  hybrid vehicle energy management  vehicle grid integration  battery aging mechanism  priority experience  imitative learning  
A Bio-Inspired Integration Model of Basal Ganglia and Cerebellum for Motion Learning of a Musculoskeletal Robot 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2024, 卷号: 37, 期号: 1, 页码: 82-113
作者:  Zhang, Jinhan;  Chen, Jiahao;  Zhong, Shanlin;  Qiao, Hong
收藏  |  浏览/下载：11/0  |  提交时间：2024/07/03
Basal ganglia and cerebellum  bio-inspired integration model  motion learning  muscu-loskeletal robot  reinforcement learning  
ToolBot: Learning Oriented Keypoints for Tool Usage From Self-Supervision 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 卷号: 20, 期号: 1, 页码: 723-731
作者:  Wei, Junhang;  Hao, Peng;  Wang, Shuo
收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03
Data-efficient robot learning  self-superv ision  tool usage  visuomotor policy  
Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 卷号: 21, 期号: 1, 页码: 343-352
作者:  Wei, Qinglai;  Yang, Zesheng;  Su, Huaizhong;  Wang, Lijian
收藏  |  浏览/下载：13/0  |  提交时间：2024/07/03
Adaptive dynamic programming (ADP)  VTOL aircraft system  policy iteration  neural network (NN)  optimal control  iterative errors  
Synergetic Learning Neuro-Control for Unknown Affine Nonlinear Systems With Asymptotic Stability Guarantees 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 页码: 11
作者:  Zhu, Liao;  Wei, Qinglai;  Guo, Ping
收藏  |  浏览/下载：12/0  |  提交时间：2024/07/03
Approximate dynamic programming (ADP)  neural network  off-policy  optimal control  reinforcement learning (RL)