Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots
文献类型：期刊论文
| 作者 | Liu, Mei3,4; Zhang, Xiaoyan3,4; Shang, Mingsheng2 ; Jin, Long1,2
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| 刊名 | IEEE-CAA JOURNAL OF AUTOMATICA SINICA
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| 出版日期 | 2022-08-01 |
| 卷号 | 9期号:8页码:1452-1463 |
| 关键词 | Consensus filter k-winners-take-all (kWTA) multi-robot coordination noise resistance |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2022.105731 |
| 通讯作者 | Jin, Long(longjin@ieee.org) |
| 英文摘要 | Aiming at the k-winners-take-all (kWTA) operation, this paper proposes a gradient-based differential kWTA (GD-kWTA) network After obtaining the network, theorems and related proofs are provided to guarantee the exponential convergence and noise resistance of the proposed GD-kWTA network Then, numerical simulations are conducted to substantiate the preferable performance of the proposed network as compared with the traditional ones. Finally, the GD-kWTA network, backed with a consensus filter, is utilized as a robust control scheme for modeling the competition behavior in the multi-robot coordination, thereby further demonstrating its effectiveness and feasibility. |
| 资助项目 | National Natural Science Foundation of China[62176109] ; Natural Science Foundation of Gansu Province[21JR7RA531] ; Tibetan Information Processing and Machine Translation Key Laboratory of Qinghai Province[2021-Z-003] ; CAS Light of West China Program ; Natural Science Foundation of Chongqing (China)[cstc2020jcyjzdxmX0028] ; Chongqing Entrepreneurship and Innovation Support Program for Overseas Returnees[CX2021100] ; Supercomputing Center of Lanzhou University ; Science and Technology Project of Chengguan District of Lanzhou[2021JSCX0014] ; Education Department of Gansu Province: Excellent Graduate Student Innovation Star Project[2021CXZX-122] |
| WOS研究方向 | Automation & Control Systems |
| 语种 | 英语 |
| WOS记录号 | WOS:000838825000011 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/16441]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Jin, Long |
| 作者单位 | 1.Lanzhou Univ, Shenzhen Res Inst, Shenzhen 518063, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China 3.State Key Lab Tibetan Intelligent Informat Proc &, Xining 810016, Peoples R China 4.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Mei,Zhang, Xiaoyan,Shang, Mingsheng,et al. Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots[J]. IEEE-CAA JOURNAL OF AUTOMATICA SINICA,2022,9(8):1452-1463. |
| APA | Liu, Mei,Zhang, Xiaoyan,Shang, Mingsheng,&Jin, Long.(2022).Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots.IEEE-CAA JOURNAL OF AUTOMATICA SINICA,9(8),1452-1463. |
| MLA | Liu, Mei,et al."Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots".IEEE-CAA JOURNAL OF AUTOMATICA SINICA 9.8(2022):1452-1463. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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