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中央空调系统的MAS智能控制模型
引用本文:邓璐娟,潘凯洁,陈培.中央空调系统的MAS智能控制模型[J].微机发展,2012(8):213-215,220.
作者姓名:邓璐娟  潘凯洁  陈培
作者单位:[1]郑州轻工业学院软件学院,河南郑州450002 [2]郑州轻工业学院计算机与通信工程学院,河南郑州450002
基金项目:国家自然科学基金项目(61040025)
摘    要:中央空调智能控制是实现空词节能优化调节的一个发展方向,目前是研究的一个热点和难点。文中首先在分布式人工智能领域的MAS理论基础上,对MAS的理论和应用进行研究介绍;然后针对目前中央空调控制系统中难于进行整体控制的问题,采用基于MAS的建模方法进行整体控制的设想,探讨了多Agent技术在空调控制系统中的应用;最后,文中引入了具有学习控制能力的人工智能技术,采用增强学习方法与多Agent技术结合起来,实现中央空调系统的整体智能控制与节能。

关 键 词:智能控制  MAS  增强学习

Intelligent Control Model for Central Air-conditioning System Based on MAS
DENG Lu-juan,PAN Kai-jie,CHEN Pei.Intelligent Control Model for Central Air-conditioning System Based on MAS[J].Microcomputer Development,2012(8):213-215,220.
Authors:DENG Lu-juan  PAN Kai-jie  CHEN Pei
Affiliation:1. Software Institute, Zhengzhou University of Light Industry, Zhengzhou 450002, China; 2. Sch. of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China)
Abstract:Intelligent control for central air-conditioning is a development direction of air-conditioning energy saving and optimization control,which is both hot and difficult currently. First,in the field of distributed artificial intelligence based on MAS theory,introduction to the theory and application of MAS was reviewed. Then in view of the current difficulty to overall control for central air-conditioning control system,adopt modeling method based on MAS to implement the tentative plan of overall control,discuss the applications of MAS in central air-conditioning system. Finally, with learning and control technology, use reinforcement learning and MAS to achieve intelli- gent control and energy saving of central air conditioning system.
Keywords:intelligent control  MAS  reinforcement learning
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