Design of Multi Model Predictive Control for nonlinear process plant
This paper presents a new approach to deal with the nonlinearity of control system by using Multi Model Predictive Control (MPC) strategies. The idea of this research is using Fuzzy model to divide the nonlinear system into several sub linear systems which can be applied linear MPC controller. First...
Saved in:
Main Authors: | Hung, N.T., Ismail, I., Saad, N.B., Ibrahim, R., Irfan, M. |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE Computer Society
2014
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906335936&doi=10.1109%2fICIAS.2014.6869482&partnerID=40&md5=17e131a2e802672f01f71b47f92bb34b http://eprints.utp.edu.my/32161/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A practical approach of control of real time nonlinear process plant using Multiple Model Predictive Control
by: Nguyen, T.H., et al.
Published: (2015) -
Design of optimal GBN sequences for identification of MIMO systems
by: Hung, N.T., et al.
Published: (2015) -
Design of optimal GBN sequences for identification of MIMO systems
by: Hung, N.T., et al.
Published: (2015) -
Formulation of model predictive control algorithm for nonlinear processes
by: Mohd. Yusof, Khairiyah, et al.
Published: (2004) -
Identification and Control of Nonlinear system using Multiple Generalized Predictive Control Based Neuro-fuzzy Model
by: Hung, Nguyen Tuan
Published: (2015)