Gradient-Based Differential <i>k</i>WTA Network With Application to Competitive Coordination of Multiple Robots

doi:10.1109/JAS.2022.105731

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Gradient-Based Differential kWTA Network With Application to Competitive Coordination of Multiple Robots
	Mei Liu; Xiaoyan Zhang; Mingsheng Shang; Long Jin
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2022
卷号	9 期号:8 页码:1452-1463
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.
关键词	Consensus filter k-winners-take-all (kWTA) multi-robot coordination noise resistance
DOI	10.1109/JAS.2022.105731
引用统计	被引频次：24[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/49653
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Mei Liu,Xiaoyan Zhang,Mingsheng Shang,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	Mei Liu,Xiaoyan Zhang,Mingsheng Shang,&Long Jin.(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	Mei Liu,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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
JAS-2022-0330.pdf（6848KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览