Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination
文献类型：期刊论文
| 作者 | Qi, Yimeng2,3,4; Jin, Long1,2,3; Luo, Xin5 ; Shi, Yang6; Liu, Mei4,5
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 2021-06-16 |
| 页码 | 13 |
| 关键词 | Task analysis Robustness Biological neural networks Resource management Dynamic scheduling Convergence Recurrent neural networks Consensus filter k-winner-take-all (k-WTA) multiagent coordination theoretical analysis |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2021.3079457 |
| 通讯作者 | Jin, Long(jinlongsysu@foxmail.com) ; Luo, Xin(luoxin21@cigit.ac.cn) |
| 英文摘要 | In this article, a robust k-winner-take-all (k-WTA) neural network employing the saturation-allowed activation functions is designed and investigated to perform a k-WTA operation, and is shown to possess enhanced robustness to disturbance compared to existing k-WTA neural networks. Global convergence and robustness of the proposed k-WTA neural network are demonstrated through analysis and simulations. An application studied in detail is competitive multiagent coordination and dynamic task allocation, in which k active agents [among m (m > k)] are allocated to execute a tracking task with the static m-k ones. This is implemented by adopting a distributed k-WTA network with limited communication, aided with a consensus filter. Simulation results demonstrating the system's efficacy and feasibility are presented. |
| 资助项目 | CAAI-Huawei MindSpore Open Fund[CAAIXSJLJJ-2020-009A] ; Team Project of Natural Science Foundation of Qinghai Province (China)[2020-ZJ-903] ; Key Laboratory of IoT of Qinghai[2020-ZJY16] ; Natural Science Foundation of Gansu Province (China)[20JR10RA639] ; Natural Science Foundation of Chongqing (China)[cstc2019jcyjjqX0013] ; Natural Science Foundation of Chongqing (China)[cstc2020jcyj-zdxmX0028] ; CAS Light of West China Program ; Chongqing Key Laboratory of Mobile Communications Technology[cqupt-mct-202004] ; Gansu Province Key Laboratory of Medical Imaging Fund Project[18JR2RA028] ; Fundamental Research Funds for the Central Universities[lzujbky-2021-65] ; Fundamental Research Funds for the Central Universities[lzujbky-2021-it35] ; Fundamental Research Funds for the Central Universities[lzujbky-2021-it36] ; Pioneer Hundred Talents Program of Chinese Academy of Sciences |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000732183800001 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/14767]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Jin, Long; Luo, Xin |
| 作者单位 | 1.Pazhou Lab, Guangzhou 510330, Peoples R China 2.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China 3.Acad Plateau Sci & Sustainabil, Xining 810016, Peoples R China 4.Lanzhou Univ, Hosp 2, Key Lab Med Imaging, Lanzhou 730000, Peoples R China 5.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 6.Yangzhou Univ, Sch Informat Engn, Yangzhou 225127, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qi, Yimeng,Jin, Long,Luo, Xin,et al. Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination[J]. IEEE TRANSACTIONS ON CYBERNETICS,2021:13. |
| APA | Qi, Yimeng,Jin, Long,Luo, Xin,Shi, Yang,&Liu, Mei.(2021).Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.IEEE TRANSACTIONS ON CYBERNETICS,13. |
| MLA | Qi, Yimeng,et al."Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination".IEEE TRANSACTIONS ON CYBERNETICS (2021):13. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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