DocumentCode
2933407
Title
Research and Implementation of Embedded Intelligent Home System
Author
Song, Xiaoru ; Shang, Yu
Author_Institution
Sch. of Electron. & Inf. Eng., Xi´´an Technol. Univ., Xi´´an, China
Volume
2
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
82
Lastpage
85
Abstract
According to the characteristic of the Embedded Intelligent Home (EIH) System, the general scheme design is given in the paper. The dynamic controller is designed that is suit to nonlinear inertia system. It is created the intelligent control model, the combination of fuzzy logic control and artificial neural network. Namely, it is the Fuzzy Neural Network (Fuzzy NN) Controller model. The implementation process of the Fuzzy NN fusion method for intelligence temperature humidity controlling is given and it is also explained in detail in this paper. The results of implementation are high real time and dependability in this EIH system. And it is not only high precision of temperature humidity control but also quick dynamic respond. This investigation on controlling method provides basic theory and effective way for the optimized control of temperature humidity systems.
Keywords
embedded systems; fuzzy control; fuzzy neural nets; home automation; humidity control; neurocontrollers; temperature control; artificial neural network; dynamic controller; embedded intelligent home system; fuzzy logic control; fuzzy neural network controller model; fuzzy neural network fusion; intelligence temperature humidity controlling; intelligent control model; nonlinear inertia system; temperature humidity system; Artificial intelligence; Control systems; Fuzzy control; Fuzzy neural networks; Humidity control; Intelligent systems; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.169
Filename
5370367
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