KMS Of Academy of mathematics and systems sciences, CAS
| Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs | |
| Li, Mengmou1; Chesi, Graziano1; Hong, Yiguang2,3 | |
| 2021-09-01 | |
| Source Publication | IEEE TRANSACTIONS ON AUTOMATIC CONTROL
 |
| ISSN | 0018-9286 |
| Volume | 66Issue:9Pages:4117-4131 |
| Abstract | 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. |
| Keyword | 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 |
| DOI | 10.1109/TAC.2020.3028838 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61733018] |
| WOS Research Area | Automation & Control Systems ; Engineering |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000690441100019 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/59202 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Li, Mengmou |
| Affiliation | 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 |
| Recommended Citation 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. |
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