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科研机构
自动化研究所 [18]
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期刊论文 [12]
学位论文 [6]
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2022 [2]
2021 [2]
2020 [3]
2019 [3]
2018 [1]
2014 [1]
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A Survey of Underwater Multi-Robot Systems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 1-18
作者:
Ziye Zhou
;
Jincun Liu
;
Junzhi Yu
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  |  
浏览/下载:103/0
  |  
提交时间:2021/11/03
Cooperation
formation control
multi-robot systems (MRS)
taxonomy
underwater robots
underwater tasks
Distributed Control of Nonholonomic Robots Without Global Position Measurements Subject to Unknown Slippage Constraints
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 2, 页码: 354-364
作者:
Hao Zhang
;
Jianwen Sun
;
Zhuping Wang
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  |  
浏览/下载:54/0
  |  
提交时间:2021/11/03
Adaptive control
distributed formation control
finite-time observer
multi-robot systems
slippage
Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:
Tianhao Zhang
;
Jiuhong Xiao
;
Liang Li
;
Chen Wang
;
Guangming Xie
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  |  
浏览/下载:52/0
  |  
提交时间:2021/09/03
Deep neural networks
formation control
multiple fish-like robots
pose estimation
pose tracking
Behavior-based Autonomous Navigation and Formation Control of Mobile Robots in Unknown Cluttered Dynamic Environments with Dynamic Target Tracking
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 766-786
作者:
Nacer Hacene
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  |  
浏览/下载:44/0
  |  
提交时间:2021/09/13
Behavior-based autonomous navigation
dynamic obstacles and walls
dynamic target tracking
formation control of multi-robot systems
dynamic environment
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
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:7/0
  |  
提交时间:2020/11/09
Mobile robots, formation control, super-twisting sliding mode control, uncertainties, disturbance observer
Coordinated Formation Design of Multi-Robot Systems via an Adaptive-Gain Super-Twisting Sliding Mode Method
期刊论文
APPLIED SCIENCES-BASEL, 2019, 卷号: 9, 期号: 20, 页码: 19
作者:
Qian, Dianwei
;
Zhang, Guigang
;
Chen, Jiarong
;
Wang, Jian
;
Wu, Zhimin
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  |  
浏览/下载:13/0
  |  
提交时间:2020/03/30
second order sliding mode control
adaptive control
formation control
multiple robots
super twisting law
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:39/0
  |  
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
Coordinated Formation Design of Multi-Robot Systems via an Adaptive-Gain Super-Twisting Sliding Mode Method
期刊论文
Applied Sciences, 2019, 卷号: 9, 期号: 9, 页码: 1-19
作者:
Zhang GG(张桂刚)
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  |  
浏览/下载:3/0
  |  
提交时间:2020/11/09
multi-robot systems, formation maneuvers, sliding mode control, adaptive
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