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
收藏
页码：2622 / 2627
页数：6
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