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期刊论文 [10]
会议论文 [2]
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2019 [12]
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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:12/0
  |  
提交时间:2020/03/30
second order sliding mode control
adaptive control
formation control
multiple robots
super twisting law
Distributed iterative learning coordination control for leader-follower uncertain non-linear multi-agent systems with input saturation
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 14, 页码: 2252-2260
作者:
Yang, Nana
;
Li, Junmin
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  |  
浏览/下载:3/0
  |  
提交时间:2019/11/15
learning (artificial intelligence)
nonlinear control systems
adaptive control
control system synthesis
uncertain systems
multi-robot systems
learning systems
iterative methods
multi-agent systems
distributed control
Lyapunov methods
nonlinear multiagent systems
input saturation
fully distributed adaptive iterative learning coordination control
nonlinear leader-follower multiagent systems
alignment initial condition
novel adaptive distributed
control protocol
fully saturated parameter learning law
global perfect consensus tracking
consensus tracking problem
formation control problem
A hybrid formation control design for multi-robot system with obstacle avoidance
会议论文
Guangzhou, July 27-30
作者:
Wu Shiguang
;
Sui Zezhi
;
Yi Jianqiang
;
Pu Zhiqiang
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  |  
浏览/下载:0/0
  |  
提交时间:2022/06/16
Multi-target detection and grasping control for humanoid robot NAO
期刊论文
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2019, 卷号: 33, 期号: 7, 页码: 1225-1237
作者:
Zhang, Lei
;
Zhang, Huayan
;
Yang, Hanting
;
Bian, Gui-Bin
;
Wu, Wanqing
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  |  
浏览/下载:65/0
  |  
提交时间:2019/12/16
grasping method
humanoid robot
multi-target detection
YOLOv3
Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback
期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 1, 页码: 69-77
作者:
Chu, Hongjun
;
Chen, Jianliang
;
Wei, Qinglai
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  |  
浏览/下载:53/0
  |  
提交时间:2019/07/12
reduced order systems
observers
multi-agent systems
linear systems
multi-robot systems
actuators
robust control
state feedback
feedback
control system synthesis
topology
robust global consensus tracking
input saturation
agent dynamics
general linear systems
actuator saturation
input additive uncertainties
state feedback protocol
disturbance rejection
reduced-order observer-based protocol design
linear multi-agent systems
scheduled low-and-high gain feedback
network topology
Elephant's Trunk: An Extremely Versatile Under-actuated Continuum Robot Driven by a Single Motor
期刊论文
JOURNAL OF MORPHOLOGY, 2019, 卷号: 280, 期号: S, 页码: S45-S45
作者:
Wang, D
;
Liu YW(刘玉旺)
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浏览/下载:42/0
  |  
提交时间:2019/06/29
Neural network-based region reaching formation control for multi-robot systems in obstacle environment
期刊论文
NEUROCOMPUTING, 2019, 卷号: 333, 页码: 11-21
作者:
Yu, Jinwei[1]
;
Ji, Jinchen[2]
;
Miao, Zhonghua[3]
;
Zhou, Jin[4]
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  |  
浏览/下载:11/0
  |  
提交时间:2019/04/22
Formation control
Region control
Neural network
Collision and obstacle avoidance
Multi-robot systems
Dynamic Network Topology Control of Branch-Trimming Robot for Transmission Lines
期刊论文
ELECTRONICS, 2019, 卷号: 8, 期号: 5
作者:
Wang, Man
;
Wu, Gongping
;
Fan, Fei
;
Ji, Qiaoling
;
He, Wenshan
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  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
topology control
branch-trimming robot
wireless sensor network
multi-robot
distributed system
IoT systems
transmission line
Distributed Multi-Robot Formation Control Based on Bipartite Consensus with Time-Varying Delays
期刊论文
IEEE Access, 2019, 卷号: 7, 页码: 144790-144798
作者:
Zong C.
;
Ji Z.
;
Tian L.
;
Zhang Y.
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
bipartite consensus
Formation control
multi-robot systems
time-varying delays
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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