中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
数学与系统科学研究院 [3]
自动化研究所 [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2023 [2]
2020 [1]
2017 [1]
2011 [1]
学科主题
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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:
Linling Wang
;
Daqi Zhu
;
Wen Pang
;
Chaomin Luo
  |  
收藏
  |  
浏览/下载:15/0
  |  
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)
Adaptive Leader-Follower Consensus Control of Multiple Flexible Manipulators With Actuator Failures and Parameter Uncertainties
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1020-1031
作者:
Yu Liu
;
Lin Li
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2023/03/22
Actuator failures
leader-follower consensus
multiple flexible manipulators
neural network
parameter uncertainties
STABLE CONSENSUS DECISION MAKING FOR SPATIALLY DISTRIBUTED MULTIAGENT SYSTEMS WITH MULTIPLE LEADERS
期刊论文
OAI收割
SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2020, 卷号: 58, 期号: 3, 页码: 1626-1651
作者:
Liu, Zhixin
;
Wang, Lin
;
Dong, Daoyi
;
Baras, John S.
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2020/09/23
multiagent systems
leader-follower model
proportion
stable consensus decision
Lower Bounds on the Proportion of Leaders Needed for Expected Consensus of 3-D Flocks
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2017, 卷号: 28, 期号: 11, 页码: 2555-2565
作者:
Li, Xuejing
;
Wang, Lin
;
Liu, Zhixin
;
Dong, Daoyi
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2018/07/30
3-D flocking model
expected consensus
leader-follower model
lower bound
The proportion of leaders needed for the expected consensus
期刊论文
OAI收割
AUTOMATICA, 2011, 卷号: 47, 期号: 12, 页码: 2697-2703
作者:
Liu, Zhixin
;
Han, Jing
;
Hu, Xiaoming
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/07/30
Proportion
Leader-follower model
Consensus
Multi-agent systems
Vicsek's model