Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs

doi:10.1109/TAC.2020.3028838

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	Input-Feedforward-Passivity-Based Distributed Optimization Over Jointly Connected Balanced Digraphs
	Li, Mengmou 1; Chesi, Graziano 1; Hong, Yiguang 2,3
	2021-09-01
发表期刊	IEEE TRANSACTIONS ON AUTOMATIC CONTROL
ISSN	0018-9286
卷号	66 期号:9 页码:4117-4131
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.
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
DOI	10.1109/TAC.2020.3028838
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61733018]
WOS研究方向	Automation & Control Systems ; Engineering
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic
WOS记录号	WOS:000690441100019
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/59202
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.