A comparative study between Neural Networks (NN)-based and adaptive-PID controllers for the optimal bio-hydrogen gas production in microbial electrolysis cell reactor

The main challenge of the hydrogen production study for the MEC reactor is to obtain a good automatic control system due to the nonlinearity and complexity of the microbial interactions. To address this issue an integrated approach involving process modeling, optimization and advanced control has to...

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Bibliographic Details
Main Authors: Azwar, M.Y., Hussain, Mohd Azlan, Wahab, Ahmad Khairi Abdul, Zanil, M.F.
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.um.edu.my/14129/1/A_Comparative_study_between_Neural_Networks.pdf
http://eprints.um.edu.my/14129/
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