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Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots

Mei Liu Xiaoyan Zhang Mingsheng Shang Long Jin

自动化学报:英文版2022,Vol.9Issue(8):P.1452-1463,12.
自动化学报:英文版2022,Vol.9Issue(8):P.1452-1463,12.DOI:10.1109/JAS.2022.105731

Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots

Mei Liu 1Xiaoyan Zhang 1Mingsheng Shang 2Long Jin3

作者信息

  • 1. School of Information Science and Engineering,Lanzhou University,Lanzhou 730000 State Key Laboratory of Tibetan Intelligent Information Processing and Application,Xining 810016,China
  • 2. Chongqing Key Laboratory of Big Data and Intelligent Computing,Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400714,China
  • 3. Chongqing Key Laboratory of Big Data and Intelligent Computing,Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 400714,China Shenzhen Research Institute,Lanzhou University,Shenzhen 518063,China
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摘要

关键词

Consensus filter/k-winners-take-all(kWTA)/multirobot coordination/noise resistance

分类

信息技术与安全科学

引用本文复制引用

Mei Liu,Xiaoyan Zhang,Mingsheng Shang,Long Jin..Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots[J].自动化学报:英文版,2022,9(8):P.1452-1463,12.

基金项目

supported in part by the National Natural Science Foundation of China(62176109) (62176109)

the Natural Science Foundation of Gansu Province(21JR7RA531) (21JR7RA531)

the Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province(2021-Z-003) (2021-Z-003)

the CAS“Light of West China”Program ()

the Natural Science Foundation of Chongqing(China)(cstc2020jcyjzdxm X0028) (China)

the Chongqing Entrepreneurship and Innovation Support Program for Overseas Returnees(CX2021100) (CX2021100)

the Supercomputing Center of Lanzhou University ()

the Science and Technology Project of Chengguan District of Lanzhou(2021JSCX0014) (2021JSCX0014)

the Education Department of Gansu Province:Excellent Graduate Student“Innovation Star”Project(2021CXZX-122)。 (2021CXZX-122)

自动化学报:英文版

OACSCDCSTPCDEI

2329-9266

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