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DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY

Network Control Theory is a concept of control which investigates control performance of the system by involving multiple nodes of the system. This method is widely used with help of Artificial Neural Network alongside Reinforcement Learning which is an approach in Machine Learning. In this Project,...

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Bibliographic Details
Main Author: ALIPOUR, ARMIN
Format: Final Year Project
Language:English
Published: IRC 2019
Online Access:http://utpedia.utp.edu.my/20122/1/Softbound%20copy-%20Armin%20Alipour%20%2823215%29.pdf
http://utpedia.utp.edu.my/20122/
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spelling my-utp-utpedia.201222019-12-20T16:14:13Z http://utpedia.utp.edu.my/20122/ DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY ALIPOUR, ARMIN Network Control Theory is a concept of control which investigates control performance of the system by involving multiple nodes of the system. This method is widely used with help of Artificial Neural Network alongside Reinforcement Learning which is an approach in Machine Learning. In this Project, Network Control is used for a nonlinear process plant (Reactor - Flash - Recycler) to see the interaction of DQN agent with the process plant. The interaction of DQN agent with SISO and MIMO linear process plants control has proven to be successful. The simulation for the process and the DQN Agent is developed and using the Relative Gain Array method, the reward is designed for this system. The concept helped to create set of policies which would help to modify the DQN agent for the process plant. IRC 2019-01 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20122/1/Softbound%20copy-%20Armin%20Alipour%20%2823215%29.pdf ALIPOUR, ARMIN (2019) DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description Network Control Theory is a concept of control which investigates control performance of the system by involving multiple nodes of the system. This method is widely used with help of Artificial Neural Network alongside Reinforcement Learning which is an approach in Machine Learning. In this Project, Network Control is used for a nonlinear process plant (Reactor - Flash - Recycler) to see the interaction of DQN agent with the process plant. The interaction of DQN agent with SISO and MIMO linear process plants control has proven to be successful. The simulation for the process and the DQN Agent is developed and using the Relative Gain Array method, the reward is designed for this system. The concept helped to create set of policies which would help to modify the DQN agent for the process plant.
format Final Year Project
author ALIPOUR, ARMIN
spellingShingle ALIPOUR, ARMIN
DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
author_facet ALIPOUR, ARMIN
author_sort ALIPOUR, ARMIN
title DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
title_short DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
title_full DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
title_fullStr DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
title_full_unstemmed DISTRIBUTED PROCESS PLANT CONTROLLER USING NETWORK CONTROL THEORY
title_sort distributed process plant controller using network control theory
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20122/1/Softbound%20copy-%20Armin%20Alipour%20%2823215%29.pdf
http://utpedia.utp.edu.my/20122/
_version_ 1739832716673679360
score 13.211869

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