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

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'...

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Bibliographic Details
Main Author: Ismail, Khadijah
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2009
Subjects:
Online Access:http://utpedia.utp.edu.my/9242/1/2009%20Bachelor%20-%20Study%20On%20Neural%20Network%20Predictive%20Controller-Impact%20Of%20Network%27s%20Architecture%20An.pdf
http://utpedia.utp.edu.my/9242/
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Summary: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.