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Budget feasible mechanisms for facility location games with strategic facilities
期刊论文
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2022, 卷号: 36, 期号: 2, 页码: 22
作者:
Li, Minming
;
Wang, Chenhao
;
Zhang, Mengqi
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/07
Facility location
Mechanism design
Budget feasibility
Approximation ratio
Human-in-the-Loop Consensus Control for Nonlinear Multi-Agent Systems With Actuator Faults
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 111-122
作者:
Guohuai Lin
;
Hongyi Li
;
Hui Ma
;
Deyin Yao
;
Renquan Lu
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  |  
浏览/下载:167/0
  |  
提交时间:2021/11/03
Actuator faults
distributed control
human-in-the-loop
neighborhood observer
nonlinear multi-agent systems (MASs)
Maximizing Convergence Speed for Second Order Consensus in Leaderless Multi-Agent Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 259-269
作者:
Gianvito Difilippo
;
Maria Pia Fanti
;
Agostino Marcello Mangini
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  |  
浏览/下载:57/0
  |  
提交时间:2021/11/03
Consensus protocols
directed spanning tree
multi-agent systems
networked systems
second-order consensus
Cooperative Multi-Agent Control for Autonomous Ship Towing Under Environmental Disturbances
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1365-1379
作者:
Zhe Du
;
Rudy R. Negenborn
;
Vasso Reppa
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  |  
浏览/下载:19/0
  |  
提交时间:2021/06/11
Cooperative control
environmental disturbances
multiple autonomous vessels
robust control
ship towing
Robust Observer-based Control of Nonlinear Multi-omnidirectional Wheeled Robot Systems via High Order Sliding-mode Consensus Protocol
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 787-801
作者:
M. R. Rahimi Khoygani
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  |  
浏览/下载:39/0
  |  
提交时间:2021/09/13
Multi-agent system (MAS)
nonlinear controller
nonlinear observer
high-order sliding mode
consensus protocol
omnidirectional robots
Multi-agent Distributed Formation Control Based on Improved Artificial Potential Field and Neural Network for Connectivity Preservation
会议论文
Beijing, China, October 15-17, 2021
作者:
Chen, Bao
;
Ma HJ(马宏军)
;
Kang HB(康浩博)
;
Liang, Xinkai
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  |  
浏览/下载:14/0
  |  
提交时间:2022/02/19
Multi-AUV system
formation control
connectivity preservation
artificial potential function
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
Agent-Based Modeling of Sustainable Ecological Consumption for Grasslands: A Case Study of Inner Mongolia, China
期刊论文
SUSTAINABILITY, 2019, 卷号: 11, 期号: 8, 页码: 24
作者:
Yan, Huimin
;
Pan, Lihu
;
Xue, Zhichao
;
Zhen, Lin
;
Bai, Xuehong
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  |  
浏览/下载:57/0
  |  
提交时间:2019/09/24
agent-based modeling (ABM)
ecosystem services
ecosystem services consumption
ecosystem pressure
net primary productivity
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving
期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
作者:
Dong Li
;
Dongbin Zhao
;
Qichao Zhang
;
Yaran Chen
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  |  
浏览/下载:51/0
  |  
提交时间:2019/04/25
Deep Learning
Autonomous Driving
Visual Control
Reinforcement Learning
Deep Learning
Autonomous Driving
Visual Control
Reinforcement Learning
Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things
期刊论文
SENSORS, 2019, 卷号: 19
作者:
Yao, Zheng
;
Wu, Sentang
;
Wen, Yongming
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  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Internet of Things
formation generation
distributed information fusion
autonomous collaboration
social cognitive optimization
multi-agent system
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