Robust neural network controller for variable airflow volume system
Syed Mahmud Husain.
Date of Issue2002
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Nanyang Technological University