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科研机构
自动化研究所 [27]
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期刊论文 [14]
学位论文 [9]
会议论文 [4]
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2023 [2]
2022 [1]
2020 [5]
2019 [1]
2018 [1]
2016 [1]
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Dynamic Event-Triggered Fixed-Time Consensus Control and Its Applications to Magnetic Map Construction
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 10, 页码: 2000-2013
作者:
Jiayu Chai
;
Qiang Lu
;
Xudong Tao
;
Dongliang Peng
;
Botao Zhang
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/09/07
Dynamic event-triggered rule
fixed-time consensus control
fixed-time stability condition
magnetic map construction
multi-agent system
Cyclic-Pursuit-Based Circular Formation Control of Mobile Agents with Limited Communication Ranges and Communication Delays
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1860-1870
作者:
Boyin Zheng
;
Cheng Song
;
Lu Liu
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  |  
浏览/下载:4/0
  |  
提交时间:2023/08/10
Circular formation control
communication delays
cyclic pursuit
heterogeneous communication ranges
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
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
Disturbance observer-based super-twisting sliding mode control for formation tracking of multi-agent mobile robots
期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:
Zhang, Guigang
;
Wang, Yun
;
Wang, Jian
;
Chen, Jiarong
;
Qian, Dianwei
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  |  
浏览/下载:39/0
  |  
提交时间:2020/07/20
Mobile robots
formation control
super-twisting sliding mode control
uncertainties
disturbance observer
Formation-Containment Control Using Dynamic Event-Triggering Mechanism for Multi-Agent Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1235-1248
作者:
Amir Amini
;
Amir Asif
;
Arash Mohammadi
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  |  
浏览/下载:6/0
  |  
提交时间:2021/03/11
Co-design convex optimization
dynamic event-triggered schemes
formation-containment control
multi-agent systems
ResIoT: An IoT Social Framework Resilient to Malicious Activities
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1263-1278
作者:
Giancarlo Fortino
;
Fabrizio Messina
;
Domenico Rosaci
;
Giuseppe M. L. Sarnè
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  |  
浏览/下载:24/0
  |  
提交时间:2021/03/11
Group formation
internet of things (IoT)
multi-agent system
reputation
Disturbance observer–based supertwisting sliding mode control for formation tracking of multi-agent mobile robots
期刊论文
Measurement and Control, 2020, 卷号: 53, 期号: 5-6, 页码: 908-921
作者:
Zhang GG(张桂刚)
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  |  
浏览/下载:6/0
  |  
提交时间:2020/11/09
Mobile robots, formation control, super-twisting sliding mode control, uncertainties, disturbance observer
Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology
期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2019, 卷号: 62, 期号: 9, 页码: 14
作者:
Wen, Guoxing
;
Chen, C. L. Philip
;
Dou, Hui
;
Yang, Hongli
;
Liu, Chunfang
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  |  
浏览/下载:38/0
  |  
提交时间:2019/12/16
formation control
obstacle avoidance
artificial potential field method
H-infinity performance
second-order multi-agent system
directed topology
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 5, 页码: 2719-2731
作者:
Wen, Guoxing
;
Chen, C. L. Philip
;
Feng, Jun
;
Zhou, Ning
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  |  
浏览/下载:36/0
  |  
提交时间:2019/12/16
Fuzzy logic systems (FLSs)
identifier-actor-critic architecture
multi-agent formation
optimized formation control
reinforcement learning (RL)
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