Optimized neural net control using genetic algorithm for intermittent system

被引：0
|
作者：
Li, PK [1 ]
Du, XX [1 ]
Gan, XJ [1 ]
机构：
[1] No Jiaotong Univ, Sch Mech Elect & Control Engn, Beijing 100044, Peoples R China
来源：
2002 IEEE REGION 10 CONFERENCE ON COMPUTERS, COMMUNICATIONS, CONTROL AND POWER ENGINEERING, VOLS I-III, PROCEEDINGS | 2002年
关键词：
neural net control; genetic algorithm; intermittent system; realization;
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 PID-like Neural Net control algorithm is developed, and Genetic Algorithm is integrated into for optimizing the learning rates. The dynamic properties for an intermittent. Heating Ventilation Air Conditioning (HVAC) system are analyzed, and MATLAB/Simulink model for Neural Net control algorithm is introduced. The simulation for large delay systems and the industrial intermittent HVAC system application is reported.
引用
收藏
页码：1534 / 1537
页数：4
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