Design of new hybrid neural controller for nonlinear CSTR system based on identification
Other Title(s)
تصميم مسيطر عصبي هجين جديد لنظام خزان مفاعل مستمر الإثارة اللاخطي مبنيا على أساس التعريف
Joint Authors
al-Zankana, Shayma Jafar
al-Araji, Ahmad Sabah Abd al-Amir
Source
Issue
Vol. 25, Issue 4 (30 Apr. 2019), pp.70-89, 20 p.
Publisher
University of Baghdad College of Engineering
Publication Date
2019-04-30
Country of Publication
Iraq
No. of Pages
20
Main Subjects
Topics
Abstract EN
This paper proposes improving the structure of the neural controller based on the identification model for nonlinear systems.
The goal of this work is to employ the structure of the Modified Elman Neural Network (MENN) model into the NARMA-L2 structure instead of Multi-Layer Perceptron (MLP) model in order to construct a new hybrid neural structure that can be used as an identifier model and a nonlinear controller for the SISO linear or nonlinear systems.
Two learning algorithms are used to adjust the parameters weight of the hybrid neural structure with its serial-parallel configuration; the first one is supervised learning algorithm based Back Propagation Algorithm (BPA) and the second one is an intelligent algorithm namely Particle Swarm Optimization (PSO) algorithm.
The numerical simulation results show that the hybrid NARMA-L2 controller with PSO algorithm is more accurate than BPA in terms of achieving fast learning and adjusting the parameters model with minimum number of iterations, minimum number of neurons in the hybrid network and the smooth output one step ahead prediction controller response for the nonlinear CSTR system without oscillation.
American Psychological Association (APA)
al-Araji, Ahmad Sabah Abd al-Amir& al-Zankana, Shayma Jafar. 2019. Design of new hybrid neural controller for nonlinear CSTR system based on identification. Journal of Engineering،Vol. 25, no. 4, pp.70-89.
https://search.emarefa.net/detail/BIM-893852
Modern Language Association (MLA)
al-Araji, Ahmad Sabah Abd al-Amir& al-Zankana, Shayma Jafar. Design of new hybrid neural controller for nonlinear CSTR system based on identification. Journal of Engineering Vol. 25, no. 4 (Apr. 2019), pp.70-89.
https://search.emarefa.net/detail/BIM-893852
American Medical Association (AMA)
al-Araji, Ahmad Sabah Abd al-Amir& al-Zankana, Shayma Jafar. Design of new hybrid neural controller for nonlinear CSTR system based on identification. Journal of Engineering. 2019. Vol. 25, no. 4, pp.70-89.
https://search.emarefa.net/detail/BIM-893852
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 88-89
Record ID
BIM-893852