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...
| Main Author: | NGUYEN , TUAN HUNG |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.21219 / |
| Published: |
2014
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| Subjects: | |
| 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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| Summary: |
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 alternative form as multiple linear
Auto-Regressive Exogenous (ARX) sub models. Subsequently, the MGPC are
designed in which each GPC is based on the sub ARX model working cooperatively
with other GPCsto control the nonlinearsystem. |
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