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Modeling Human Temporal and Spatial Structured Contacts for Epidemic Prediction
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 卷号: 11, 期号: 1, 页码: 340-351
作者:
Duan, Wei
;
Wang, Xiao
;
Guo, Gang
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/05/30
Epidemics
Social networking (online)
Modeling
Mathematical models
Behavioral sciences
Statistics
Sociology
Agent-based simulation
complex networks
epidemic models
public health emergency management
Mixture of personality improved spiking actor network for efficient multi-agent cooperation
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 14
作者:
Li, Xiyun
;
Ni, Ziyi
;
Ruan, Jingqing
;
Meng, Linghui
;
Shi, Jing
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
multi-agent cooperation
personality theory
spiking actor networks
multi-agent reinforcement learning
theory of mind
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/06/06
Training
Reinforcement learning
Games
Scalability
Task analysis
Standards
Optimization
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems
Multi-agent deep reinforcement learning for end–edge orchestrated resource allocation in industrialwireless networks
期刊论文
Frontiers of Information Technology & Electronic Engineering, 2022, 卷号: 23, 期号: 1, 页码: 47-60
作者:
Liu XY(刘晓宇)
;
Xu C(许驰)
;
Yu HB(于海斌)
;
Zeng P(曾鹏)
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/01/27
Multi-agent deep reinforcement learning
End–edge orchestrated
Industrial wireless networks
Delay
Energy consumption
Attention enhanced reinforcement learning for multi-agent cooperation
期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 期号: 2022, 页码: 1-15
作者:
Zhiqiang Pu
;
Huimu Wang
;
Zhen Liu
;
Jianqiang Yi
;
Shiguang Wu
收藏
  |  
浏览/下载:53/0
  |  
提交时间:2022/04/02
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 11
作者:
Cheng, Ting-Ting
;
Niu, Ben
;
Zhang, Jia-Ming
;
Wang, Ding
;
Wang, Zhen-Hua
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2022/01/27
Interconnected systems
Artificial neural networks
Closed loop systems
Multi-agent systems
Asymptotic stability
Switches
Stability criteria
Asymptotic tracking control
event-triggered control
neural networks (NNs)
nonlinear interconnected systems
prescribed performance control (PPC)
unmodeled dynamics
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13
作者:
Hu, Guangzheng
;
Zhu, Yuanheng
;
Zhao, Dongbin
;
Zhao, Mengchen
;
Hao, Jianye
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  |  
浏览/下载:37/0
  |  
提交时间:2022/01/27
Bandwidth
Protocols
Reinforcement learning
Task analysis
Optimization
Communication networks
Multi-agent systems
Event trigger
limited bandwidth
multi-agent communication
multi-agent reinforcement learning (MARL)
Resilience Against Replay Attacks: A Distributed Model Predictive Control Scheme for Networked Multi-Agent Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 3, 页码: 628-640
作者:
Giuseppe Franzè
;
Francesco Tedesco
;
Domenico Famularo
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2021/04/09
Distributed model predictive control
leader-follower networks
multi-agent systems
replay attacks
resilient control
Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1451-1464
作者:
Xiaoxing Ren
;
Dewei Li
;
Yugeng Xi
;
Haibin Shao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/06/11
Distributed optimization
dynamic stepsize
gradient method
multi-agent networks
Fixed-time observer based adaptive neural network time-varying formation tracking control for multi-agent systems via minimal learning parameter approach
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 9, 页码: 1147-1157
作者:
Xiong, Tianyi
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Tao, Xinlong
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  |  
浏览/下载:50/0
  |  
提交时间:2020/07/06
neurocontrollers
multi-agent systems
Lyapunov methods
closed loop systems
nonlinear control systems
time-varying systems
adaptive control
observers
uncertain systems
position control
radial basis function networks
robust control
control system synthesis
learning (artificial intelligence)
minimal learning-parameter approach
fixed-time CLSO
time-varying formation tracking problem
formation tracking control scheme
multiagent systems
time-varying formation tracking control problem
model uncertainties
velocity measurements
radial basis function neural networks
fixed-time cascaded leader state observer
fixed-time observer-based adaptive neural network time-varying formation tracking control
RBFNN-based adaptive control scheme
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