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浏览/检索结果:
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资助机构:National Natural Science Foundation of China
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Distributed Formation Control for a Multirobotic Fish System With Model-Based Event-Triggered Communication Mechanism
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 11, 页码: 11433-11442
作者:
Dai, Shijie
;
Wu, Zhengxing
;
Zhang, Pengfei
;
Tan, Min
;
Yu, Junzhi
收藏
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浏览/下载:79/0
  |  
提交时间:2023/11/17
Formation control
model-based eventtriggered mechanism (ETM)
robotic fish
underwater multiagent system
Transportation Efficiency Evaluation Under the Policies of Energy Savings and Emissions Reduction
期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2023, 页码: 20
作者:
Xie, Qiwei
;
Shi, Kun
;
Wu, Xiao
;
Huang, Wuling
;
Zheng, Xiaolong
;
Li, Yongjun
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  |  
浏览/下载:83/0
  |  
提交时间:2023/11/16
Transportation
Economics
Carbon dioxide
Energy consumption
Transportation industry
Analytical models
Renewable energy sources
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:
Su, Shuai
;
Zhu, Qingyang
;
Liu, Junqing
;
Tang, Tao
;
Wei, Qinglai
;
Cao, Yuan
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  |  
浏览/下载:83/0
  |  
提交时间:2023/11/17
Deep reinforcement learning (RL)
driving strategy
energy-efficient train control (EETC)
soft actorcritic (SAC)
Optimization-Based Post-Training Quantization With Bit-Split and Stitching
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 2, 页码: 2119-2135
作者:
Wang, Peisong
;
Chen, Weihan
;
He, Xiangyu
;
Chen, Qiang
;
Liu, Qingshan
;
Cheng, Jian
Adobe PDF(921Kb)
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浏览/下载:158/43
  |  
提交时间:2023/03/20
Deep neural networks
compression
quantization
post-training quantization
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:
Yanfen Wang
;
Mengzhen Kang
;
Yali Liu
;
Juanjuan Li
;
Kai Xue
;
Xiujuan Wang
;
Jianqing Du
;
Yonglin Tian
;
Qinghua Ni
;
Fei-Yue Wang
Adobe PDF(9632Kb)
  |  
收藏
  |  
浏览/下载:189/108
  |  
提交时间:2023/09/22
Carbon-water balance
decision-support
digital intelligence (DI)
foundation models
planning
A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 10
作者:
Wang, Jiangong
;
Tian, Yonglin
;
Wang, Yutong
;
Yang, Jing
;
Wang, Xingxia
;
Wang, Sanjin
;
Kwan, Oliver
Adobe PDF(3322Kb)
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  |  
浏览/下载:126/34
  |  
提交时间:2023/02/22
Cyber-physical-social intelligence (CPSI)
cyber-physical-social systems (CPSSs)
industrial foundation models (IFMs)
intelligent enterprises
metaverses
operational processes
parallel intelligence
Improving performance of robots using human-inspired approaches: a survey
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2022, 卷号: 65, 期号: 12, 页码: 31
作者:
Qiao, Hong
;
Zhong, Shanlin
;
Chen, Ziyu
;
Wang, Hongze
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  |  
浏览/下载:122/0
  |  
提交时间:2023/03/20
human-inspired intelligent robots
brain-inspired intelligence
decision making
visual cognition
musculoskeletal robots
Subgraph-aware graph structure revision for spatial-temporal graph modeling
期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:
Wang, Yuhu
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
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  |  
浏览/下载:139/0
  |  
提交时间:2023/01/09
Graph structure learning
Graph neural network
Spatial-temporal graph modeling
Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System
期刊论文
SENSORS, 2022, 卷号: 22, 期号: 20, 页码: 24
作者:
Zhang, Xianjie
;
Liu, Yu
;
Li, Wenjun
;
Gong, Chen
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  |  
浏览/下载:134/0
  |  
提交时间:2022/11/21
smart grid
deep reinforcement learning
cooperative agents
communication
causal model
estimating ITE
variational auto-encoder
Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization
期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 11
作者:
Sun, Yinqian
;
Zeng, Yi
;
Li, Yang
Adobe PDF(1561Kb)
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  |  
浏览/下载:205/30
  |  
提交时间:2022/11/14
brain-inspired decision model
SDQN
reinforcement learning
potential normalization
spiking activity