Continuous-time multi-agent network for distributed least absolute deviation
文献类型：会议论文
| 作者 | Qingshan Liu; Yan Zhao; Long Cheng
|
| 出版日期 | 2015 |
| 会议日期 | OCT 15-18, 2015 |
| 会议地点 | Jeju |
| 国家 | South Korea |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23138]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 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]. 见:. Jeju. OCT 15-18, 2015. |
入库方式： OAI收割
来源：自动化研究所
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