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Study on Neural Network Predictive Controller: Impact ofNetwork's Architecture and Plant-Model Mismatch

Ismail, Khadijah (2009) Study on Neural Network Predictive Controller: Impact ofNetwork's Architecture and Plant-Model Mismatch. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

This final report explains about the extended research done on basic concept of the selected topic, which is Study on Neural Network Predictive Controller: Impact of Network's Architecture and Plant-model mismatch. The objective of the project is to study the effect ofdifferent network's architecture by manipulating the transfer fiinction, number ofneurons, weight and biases on NN-based Predictive Controller's performance. And to study the impact of parameters used in CSTR on the performance of the based model in Plant-Model Mismatch. In literature review section, NN-based Predictive Controller will be further discussed. The successful outcomes of this project can be applied in the industries in orderto help reducing the uncertainty or inaccuracy in process control.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Biofuel
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 22 Oct 2013 11:20
Last Modified: 22 Oct 2013 11:20
URI: http://utpedia.utp.edu.my/id/eprint/9242

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