Robust neural network controller for variable airflow volume system

Robust neural network controller for variable airflow volume system

In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN track...

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Bibliographic Details
Main Author: Syed Mahmud Husain.
Other Authors: School of Electrical and Electronic Engineering
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3323
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Institution: Nanyang Technological University
Description
Summary:In this dissertation work, we concentrate on the analysis of a neural network (NN) tracking controller for the Variable Airflow Volume (VAV) system. A robust weight-tuning algorithm is proposed to train the multi-layered NN with a dead zone scheme. This scheme assures the convergence of the NN tracking error in the presence of disturbance.

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