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
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出版日期 | 2021-09-01 |
卷号 | 66期号:9页码:4117-4131 |
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 |
ISSN号 | 0018-9286 |
DOI | 10.1109/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 |
WOS记录号 | WOS:000690441100019 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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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