Model predictive control based on the parametrization of integral controllers

被引：0

作者：

Naganawa, A ^{[1
]}

Obinata, G ^{[1
]}

Aida, K ^{[1
]}

机构：

[1] Niigata Univ, Grad Sch Sci & Technol, Niigata 95021, Japan

来源：

(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3 | 1998年

关键词：

digital control; predictive control; identification; integral controllers; coprime factorization; parametrization; stability;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose a new design method for a model predictive control system based on the parametrization of integral controllers. The objective is to design the model predictive control system which guarantees the stability of the control system for a perturbed plant and to realize the robust tracking performance. In our design method, if a free parameter is stable, the stability of the control system is guaranteed. Control design is carried out while identifying plant uncertainty, which is unmodeled dynamics of an actual plant. A numerical example is given to illustrate the effectiveness of our proposed method.

引用

页码：1205 / 1210

页数：6

共 12 条

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