中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs

文献类型:期刊论文

作者Li, Mengmou1; Chesi, Graziano1; Hong, Yiguang2,3
刊名IEEE TRANSACTIONS ON AUTOMATIC CONTROL
出版日期2021-09-01
卷号66期号:9页码:4117-4131
ISSN号0018-9286
关键词Topology Distributed algorithms Optimization Feedforward systems Output feedback Convergence Couplings Continuous-time algorithms derivative feedback input feedforward passivity uniformly jointly strongly connected (UJSC) topologies weight-balanced digraphs
DOI10.1109/TAC.2020.3028838
英文摘要In this article, a distributed optimization problem is investigated via input feedforward passivity. First, an input-feedforward-passivity-based continuous-time distributed algorithm is proposed. It is shown that the error system of the proposed algorithm can be decomposed into a group of individual input feedforward passive (IFP) systems that interact with each other using output feedback information. Based on this IFP framework, convergence conditions of a suitable coupling gain are derived over weight-balanced and uniformly jointly strongly connected topologies. It is also shown that the IFP-based algorithm converges exponentially when the topology is strongly connected. Second, a novel distributed derivative feedback algorithm is proposed based on the passivation of IFP systems. While most works on directed topologies require knowledge of eigenvalues of the graph Laplacian, the derivative feedback algorithm is fully distributed, namely, it is robust against randomly changing weight-balanced digraphs with any positive coupling gain and without knowing any global information. Finally, numerical examples are presented to illustrate the proposed distributed algorithms.
资助项目National Natural Science Foundation of China[61733018]
WOS研究方向Automation & Control Systems ; Engineering
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000690441100019
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/59201]  
专题中国科学院数学与系统科学研究院
通讯作者Li, Mengmou
作者单位1.Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
2.Tongji Univ, Dept Control Sci & Engn, Shanghai 201804, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Li, Mengmou,Chesi, Graziano,Hong, Yiguang. Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs[J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL,2021,66(9):4117-4131.
APA Li, Mengmou,Chesi, Graziano,&Hong, Yiguang.(2021).Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs.IEEE TRANSACTIONS ON AUTOMATIC CONTROL,66(9),4117-4131.
MLA Li, Mengmou,et al."Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs".IEEE TRANSACTIONS ON AUTOMATIC CONTROL 66.9(2021):4117-4131.

入库方式: OAI收割

来源:数学与系统科学研究院

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