@inproceedings{0beb5aaec20448a3881be0f5dfcbda14,
title = "Decentralized optimization algorithm of networked systems",
abstract = "We consider a large-scale networked system which consists of multiple subsystems. With decentralized optimization algorithms, each subsystem can cooperate with other ones to obtain the optimal solution to an optimization problem. This paper presents a decentralized optimization algorithm based on penalty functions. Rather than most existing decentralized optimization algorithms, this algorithm does not require convexity of optimization problem. Firstly, the coupling between subsystems is reduced by variable splitting method. Then, the penalty function is introduced to weaken the restriction on subsystems. With knowledge of its neighboring subsystems, each subsystem can obtain the local/global optimal solution of the original optimization problem. Illustrative examples are presented for demonstration.",
keywords = "Decentralized, Networked system, Optimization",
author = "Zhe Liu and Xi Chen and Xiaohong Guan and Li Zhao",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7553797",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2849--2854",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
}