A nonlinear model predictive control system based on Wiener piecewise linear models

被引：103
|
作者：
Cervantes, AL
Agamennoni, OE
Figueroa, JL
机构：
[1] Univ Nacl Sur, Dept Ingn Elect & Computadoras, UNS, RA-8000 Bahia Blanca, Buenos Aires, Argentina
[2] UNS, CONICET, PLAPIQUI, RA-8000 Bahia Blanca, Buenos Aires, Argentina
来源：
JOURNAL OF PROCESS CONTROL | 2003年 / 13卷 / 07期
关键词：
model predictive control; Wiener model; piecewise linear function;
D O I：
10.1016/S0959-1524(02)00121-X
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a nonlinear model predictive control (NMPC) based on a Wiener model with a piecewise linear gain is presented. This approach retains all the interested properties of the classical linear model predictive control (MPC) and keeps computations easy to solve due to the canonical structure of the nonlinear gain. Some guidelines for the identification of the nominal model as well as the uncertainty bounds are discussed, and two examples that show the possibility of application of this control scheme to real life problems are presented. (C) 2002 Elsevier Ltd. All rights reserved.
引用
收藏
页码：655 / 666
页数：12
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