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IDENTIFICATIONANDCONTROL OF NONLINEAR SYSTEMS USING MULTIPLE GENERALIZED PREDICTIVE CONTROL BASED NEURO-FUZZY MODEL

This thesis presents an approach of identification and control of nonlinear processes by using Multiple Generalized Predictive Control (MGPC) based Neurofuzzy model. Firstly, the dynamic characteristics of a nonlinear system is identified by a Neuro-fuzzy model which is formulated as an alternati...

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Bibliographic Details
Main Author: NGUYEN , TUAN HUNG
Format: Thesis
Language:English
Published: 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/21219/1/2014-ELECTRIC-IDENTIFICATION%20AND%20CONTROL%20OF%20NONLINEAR%20SYSTEMS%20USING%20MULTIPLE%20GENERALIZED%20PREDICTIVE%20CONTROL%20BASED%20NEURO-FUZZY%20MODEL-NGUYEN%20TUAN%20HUNG.pdf
http://utpedia.utp.edu.my/21219/
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http://utpedia.utp.edu.my/21219/1/2014-ELECTRIC-IDENTIFICATION%20AND%20CONTROL%20OF%20NONLINEAR%20SYSTEMS%20USING%20MULTIPLE%20GENERALIZED%20PREDICTIVE%20CONTROL%20BASED%20NEURO-FUZZY%20MODEL-NGUYEN%20TUAN%20HUNG.pdf
http://utpedia.utp.edu.my/21219/

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