Continuous-time multi-agent network for distributed least absolute deviation
Qingshan Liu; Yan Zhao; Long Cheng
2015
会议名称12th International Symposium on Neural Networks (ISNN)
会议日期OCT 15-18, 2015
会议地点Jeju
会议举办国South Korea
摘要This paper presents a continuous-time multi-agent network for distributed least absolute deviation (DLAD). The objective function of the DLAD problem is a sum of many least absolute deviation functions. In the multi-agent network, each agent connects with its neighbors locally and they cooperate to obtain the optimal solutions with consensus. The proposed multi-agent network is in fact a collective system with each agent being considered as a recurrent neural network. Simulation results on a numerical example are presented to illustrate the effectiveness and characteristics of the proposed distributed optimization method.
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/23138
专题复杂系统管理与控制国家重点实验室_先进机器人
推荐引用方式
GB/T 7714
Qingshan Liu,Yan Zhao,Long Cheng. Continuous-time multi-agent network for distributed least absolute deviation[C],2015.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qingshan Liu]的文章
[Yan Zhao]的文章
[Long Cheng]的文章
百度学术
百度学术中相似的文章
[Qingshan Liu]的文章
[Yan Zhao]的文章
[Long Cheng]的文章
必应学术
必应学术中相似的文章
[Qingshan Liu]的文章
[Yan Zhao]的文章
[Long Cheng]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。