Design of New Hybrid Neural Controller for Nonlinear CSTR System based on Identification

Design of New Hybrid Neural Controller for Nonlinear CSTR System based on Identification

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 i...

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Bibliographic Details
Main Authors: Ahmed Sabah Al-Araji, Shaymaa Jafe'er Al-Zangana
Format: Article
Language:English
Published: University of Baghdad 2019-04-01
Series:Journal of Engineering
Subjects:
NARMA-L2Model, MLP neural Network, Modified Elman Neural Network, Back Propagation Algorithm, Particle Swarm Optimization, Nonlinear CSTR System.
Online Access:http://joe.uobaghdad.edu.iq/index.php/main/article/view/818

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