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Wiener model identification and nonlinear model predictive control of a pH neutralization process based on Laguerre filters and least squares support vector machines

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Journal of Zhejiang University SCIENCE C : Volume 11

Wiener model identification and nonlinear model predictive control of a pH neutralization process based on Laguerre filters and least squares support vector machines

Content Provider	SpringerLink
Author	Wang, Qing chao Zhang, Jian zhong
Copyright Year	2011
Abstract	This paper deals with Wiener model based predictive control of a pH neutralization process. The dynamic linear block of the Wiener model is parameterized using Laguerre filters while the nonlinear block is constructed using least squares support vector machines (LSSVM). Input-output data from the first principle model of the pH neutralization process are used for the Wiener model identification. Simulation results show that the proposed Wiener model has higher prediction accuracy than Laguerre-support vector regression (SVR) Wiener models, Laguerre-polynomial Wiener models, and linear Laguerre models. The identified Wiener model is used here for nonlinear model predictive control (NMPC) of the pH neutralization process. The set-point tracking performance of the proposed NMPC is compared with those of the Laguerre-SVR Wiener model based NMPC, Laguerre-polynomial Wiener model based NMPC, and linear model predictive control (LMPC). Validation results show that the proposed NMPC outperforms the other three controllers.
Starting Page	25
Ending Page	35
Page Count	11
File Format	PDF
ISSN	18691951
Journal	Journal of Zhejiang University SCIENCE C
Volume Number	12
Issue Number	1
e-ISSN	1869196X
Language	English
Publisher	SP Zhejiang University Press
Publisher Date	2011-01-14
Publisher Place	Heidelberg
Access Restriction	Subscribed
Subject Keyword	Wiener model Nonlinear model predictive control (NMPC) pH neutralization process Laguerre filters Least squares support vector machines (LSSVM) Computer Systems Organization and Communication Networks Electrical Engineering Electronics and Microelectronics, Instrumentation Computer Hardware Communications Engineering, Networks Computer Science
Content Type	Text
Resource Type	Article
Subject	Engineering

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