Adaptive distributed optimization algorithms for Euler-Lagrange systems

doi:10.1016/j.automatica.2020.109060

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	Adaptive distributed optimization algorithms for Euler-Lagrange systems
	Zou, Yao 1,2; Meng, Ziyang 1; Hong, Yiguang3
	2020-09-01
发表期刊	AUTOMATICA
ISSN	0005-1098
卷号	119 页码:7
摘要	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.
关键词	Distributed algorithm Distributed optimization Euler-Lagrange system Gain adaptation
DOI	10.1016/j.automatica.2020.109060
收录类别	SCI
语种	英语
资助项目	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研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000551496400019
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/51865
专题	系统科学研究所
通讯作者	Meng, Ziyang
作者单位	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
推荐引用方式 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.