Distributed gradient-based sampling algorithm for least-squares in switching multi-agent networks  

作　　者：Peng LIN Hongsheng QI 

机构地区：[1]Key Laboratory of Systems and Control,Academy of Mathematicsand Systems Science,Chinese Academy of Sciences,Beijing 100190,China [2]School of Mathematical Sciences,University of Chinese Academyof Sciences,Beijing 100049,China

出　　处：《Science China(Information Sciences)》2020年第9期262-264,共3页中国科学（信息科学）（英文版）

基　　金：National Key R&D Program of China(Grant No.2018YFA0703800);National Natural Science Foundation of China(Grant Nos.61873262,61733018,61333001)。

摘　　要：Dear editor,Recent years have witnessed a rapid growth of distributed design in multi-agent networks because of the scalability,robustness and low cost.Compared with the conventional centralized and parallel design,all agents in fully distributed design aim to achieve the global goal only based on the local measurement and information sharing with neighbors.Therefore,the distributed algorithms have been more and more popular in many areas,including economical systems,smart grids and machine learning[1-3].

关 键 词：NETWORKS AGENT EDITOR 

分 类 号：O157.5[理学—数学]