中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [19]
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长春光学精密机械与物... [2]
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OAI收割 [37]
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期刊论文 [22]
学位论文 [11]
会议论文 [6]
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2024 [1]
2023 [2]
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半导体物理 [1]
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Finite-time Prescribed Performance Time-Varying Formation Control for Second-Order Multi-Agent Systems With Non-Strict Feedback Based on a Neural Network Observer
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 1039-1050
作者:
Chi Ma
;
Dianbiao Dong
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收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/18
Finite-time control
multi-agent systems
neural network
prescribed performance control
time-varying formation control
A Novel Obstacle Avoidance Consensus Control for Multi-AUV Formation System
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 5, 页码: 1304-1318
作者:
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收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/04/26
Autonomous underwater vehicle (AUV)
event-triggered control
fixed-time consensus
formation obstacle avoidance
improved artificial potential field and leader-follower strategy (IAPF-LF)
Resilient Time-Varying Formation-Tracking of Multi-UAV Systems Against Composite Attacks: A Two-Layered Framework
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 969-984
作者:
Xin Gong
;
Michael V. Basin
;
Zhiguang Feng
;
Tingwen Huang
;
Yukang Cui
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/03/22
Composite attacks
multi-UAV systems
resilient control
time-varying formation-tracking
Attention Enhanced Reinforcement Learning for Multi agent Cooperation
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Pu, Zhiqiang
;
Wang, Huimu
;
Liu, Zhen
;
Yi, Jianqiang
;
Wu, Shiguang
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收藏
  |  
浏览/下载:30/0
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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
Attention enhanced reinforcement learning for multi-agent cooperation
期刊论文
OAI收割
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:12/0
  |  
提交时间:2022/04/02
Attention mechanism
deep reinforcement learning (DRL)
graph convolutional networks
multi agent systems
Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 5, 页码: 847-853
作者:
Weihua Li
;
Huaguang Zhang
;
Yu Zhou
;
Yingchun Wang
  |  
收藏
  |  
浏览/下载:18/0
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提交时间:2022/04/24
Bipartite control
dynamic edge-event-triggered control
formation tracking
multi-agent systems (MASs)
Maneuvering Angle Rigid Formations With Global Convergence Guarantees
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 8, 页码: 1464-1475
作者:
Liangming Chen
;
Zhiyun Lin
;
Hector Garcia de Marina
;
Zhiyong Sun
;
Mir Feroskhan
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收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/08/01
Angle rigid formations
formation control
formation maneuvering
global convergence
multi-agent systems
Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies
期刊论文
OAI收割
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 483-494
作者:
Xiong, Tianyi
;
Gu, Zhou
;
Yi, Jianqiang
;
Pu, Zhiqiang
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收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/11/04
Directed topologies
Formation control
Fixed-time observer
Multi-agent systems
Anti-disturbance and fault-tolerant control of dual-satellite formation configuration maintenance
期刊论文
OAI收割
Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2021, 卷号: 29, 期号: 3, 页码: 605-615
作者:
G.-J. Chen
;
L. Chang
;
X.-B. Yang
;
C.-L. Yang and Y.-B. Li
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2022/06/13
Noise-based synchronization of bounded confidence opinion dynamics in heterogeneous time-varying communication networks
期刊论文
OAI收割
INFORMATION SCIENCES, 2020, 卷号: 528, 页码: 219-230
作者:
Su, Wei
;
Wang, Xueqiao
;
Chen, Ge
;
Yu, Yongguang
;
Hadzibeganovic, Tarik
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/06/30
Opinion dynamics
Bounded confidence
Noise-induced synchronization
Heterogeneous networks
Communication topology
Social learning