ADAPTIVE GPC BASED ON LAGUERRE-FILTERS MODELING

被引：13

作者：

ELSHAFEI, AL ^{[1
]}

DUMONT, GA ^{[1
]}

ELNAGGAR, A ^{[1
]}

机构：

[1] UNIV BRITISH COLUMBIA,DEPT ELECT ENGN,VANCOUVER,BC V6T 1Z4,CANADA

来源：

AUTOMATICA | 1994年 / 30卷 / 12期

关键词：

ADAPTIVE CONTROL; IDENTIFICATION; ORTHONORMAL FUNCTIONS; PREDICTIVE CONTROL; ROBUSTNESS;

D O I：

10.1016/0005-1098(94)90051-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A state-space model based on Laguerre filters is proposed to design an adaptive generalized predictive controller (GPC) for stable plants. A sufficient stability condition is derived to study the convergence and stability of the proposed controller in case of a plant-model match. Robustness conditions are also given for the case of plant-model mismatch. The results are applicable to GPC schemes based on moving average models. In the presence of plant-model mismatch, illustrative examples show the robustness of the controller and compare it with other GPC versions.

引用

页码：1913 / 1920

页数：8

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