A Decentralized Flat Control System for Intelligent Building

被引：0

作者：

Wang Shiqiang ^{[1
]}

Xing Jianchun ^{[1
]}

Li Juelong ^{[2
]}

Yang Qiliang ^{[1
,3
]}

机构：

[1] PLA Univ Sci & Technol, Coll Def Engn, Nanjing 210007, Jiangsu, Peoples R China

[2] Tech Management Off Naval Def Engn, Beijing 100841, Peoples R China

[3] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

来源：

2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年

关键词：

intelligent building; decentralized optimization; converge; Pareto-optimality;

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：

A decentralized flat control system is introduced into the intelligent building, where each zone of the intelligent building autonomously makes decisions through information exchange with their adjacent regions in a large scale control network. We formulate the decentralized control as a constrained optimization and decompose it into decentralized subproblems, then convert the centralized optimization into multi-objective problem. A decentralized algorithm for minimizing the sum of all the functions is proposed. The convergence property of decentralized algorithm is theoretically analyzed which considers both convex and non-convex systems with constraints, and then validates through simulation results.

引用

页码：2622 / 2627

页数：6