IEEE 2010 , 2010-07-07

Title : ( Controlling Nonlinear Processes, Using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm )

Authors: Nasser Saghatoleslami , Masood Khaksar Toroghi ,

Citation: BibTeX | EndNote

Laguerre function has many advantages such as good approximation capability for different systems, low computational complexity and the facility of on-line parameter identification. Therefore, it is widely adopted for complex industrial process control. In this work, Laguerre function based adaptive model predictive control algorithm (AMPC) was implemented to control a nonlinear process. Simulation result reveals that AMPC has a good performance in set-point tracking and load rejection. For comparison purposes, a nonlinear model predictive control based on Laguerre- wiener model was also applied to the process. Simulation result demonstrates that the two controllers have the same performance in set point tracking and load rejection problem.

Keywords

, Laguerre function; predictive control; nonlinear process; Laguerre, Wiener
برای دانلود از شناسه و رمز عبور پرتال پویا استفاده کنید.

@inproceedings{paperid:1015311,
author = {Saghatoleslami, Nasser and Khaksar Toroghi, Masood},
title = {Controlling Nonlinear Processes, Using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm},
booktitle = {IEEE 2010},
year = {2010},
location = {لندن, ENGLAND},
keywords = {Laguerre function; predictive control; nonlinear process; Laguerre-Wiener model.},
}

[Download]

%0 Conference Proceedings
%T Controlling Nonlinear Processes, Using Laguerre Functions Based Adaptive Model Predictive Control (AMPC) Algorithm
%A Saghatoleslami, Nasser
%A Khaksar Toroghi, Masood
%J IEEE 2010
%D 2010

[Download]