KMS Of Academy of mathematics and systems sciences, CAS
| Adaptive distributed optimization algorithms for Euler-Lagrange systems | |
Zou, Yao1,2; Meng, Ziyang1; Hong, Yiguang3
| |
| 2020-09-01 | |
| Source Publication | AUTOMATICA
 |
| ISSN | 0005-1098 |
| Volume | 119Pages:7 |
| Abstract | This paper investigates the distributed optimization problem of a group of Euler-Lagrange (EL) systems subject to unavailable inertial parameters. A local cost function is assigned to each agent and the sum of all the local cost functions is considered as the global one. Under widely used assumptions, an adaptive distributed algorithm is proposed such that all the agent states converge to the specified point minimizing the global cost function in a cooperative manner. In particular, by introducing a novel auxiliary system with adaptive gains, the proposed optimization algorithm is privacy-preserving such that no actual state of any agent is necessary for other agents. Moreover, the proposed optimization algorithm is fully distributed in the sense that the optimization objective is achieved without knowledge of global graph information, explicit global cost function as well as strongly convex and Lipschitz constants associated with all local cost functions. Numerical simulations are illustrated to validate the theoretical results. (C) 2020 Elsevier Ltd. All rights reserved. |
| Keyword | Distributed algorithm Distributed optimization Euler-Lagrange system Gain adaptation |
| DOI | 10.1016/j.automatica.2020.109060 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61873140] ; National Natural Science Foundation of China[61833009] ; National Natural Science Foundation of China[61733018] ; National Natural Science Foundation of China[61703229] ; National Natural Science Foundation of China[U19B2029] ; National Key Research and Development Program of China[2016YFB05009002] ; Institute for Guo Qiang of Tsinghua University, PR China[2019GQG1023] |
| WOS Research Area | Automation & Control Systems ; Engineering |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000551496400019 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/51865 |
| Collection | 系统科学研究所 |
| Corresponding Author | Meng, Ziyang |
| Affiliation | 1.Tsinghua Univ, Dept Precis Instrument, Beijing 100084, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China |
| Recommended Citation GB/T 7714 | Zou, Yao,Meng, Ziyang,Hong, Yiguang. Adaptive distributed optimization algorithms for Euler-Lagrange systems[J]. AUTOMATICA,2020,119:7. |
| APA | Zou, Yao,Meng, Ziyang,&Hong, Yiguang.(2020).Adaptive distributed optimization algorithms for Euler-Lagrange systems.AUTOMATICA,119,7. |
| MLA | Zou, Yao,et al."Adaptive distributed optimization algorithms for Euler-Lagrange systems".AUTOMATICA 119(2020):7. |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment