Input-Feedforward-Passivity-Based Distributed Optimization Over Directed and Switching Topologies

被引：0
作者：
Li, Mengmou [1 ]
Chesi, Graziano [1 ]
Hong, Yiguang [2 ]
机构：
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[2] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
来源：
2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC) | 2019年
关键词：
CONVEX-OPTIMIZATION; SYNCHRONIZATION; NETWORKS;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, 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 interpreted as output feedback interconnections of a group of Input Feedforward Passive (IFP) systems. Second, based on this IFP framework, the distributed algorithm is studied over weight-balanced directed and uniformly jointly strongly connected switching topologies. Specifically, the continuous-time distributed algorithm for uniformly jointly strongly connected digraphs has never been considered before. Sufficient convergence conditions are derived for the design of a suitable coupling gain.
引用
收藏
页码：6056 / 6061
页数：6
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