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

页码：6056 / 6061

页数：6

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