ON LINEAR-PROGRAMMING AND ROBUST MODEL-PREDICTIVE CONTROL USING IMPULSE-RESPONSES

被引：93

作者：

ALLWRIGHT, JC ^{[1
]}

PAPAVASILIOU, GC ^{[1
]}

机构：

[1] IMPERIAL COLL SCI TECHNOL & MED,DEPT ELECT ENGN,LONDON SW7 2BT,ENGLAND

来源：

SYSTEMS & CONTROL LETTERS | 1992年 / 18卷 / 02期

关键词：

MODEL PREDICTIVE CONTROL; ROBUST CONTROL; DIGITAL CONTROL; LINEAR PROGRAMMING;

D O I：

10.1016/0167-6911(92)90020-S

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Campo and Morari have derived a linear programming problem, with a potentially large number of constraints, which is equivalent to a min-max formulation for robust model-predictive control of linear systems. That formulation involves minimization, with respect to the controls, of the maximum, with respect to the system's impulse response (from a set of possible impulse responses), of the infinity norm of the error between the predicted and required system output sequences. Here an alternative linear programming problem is derived which has a smaller number of constraints and is therefore potentially more convenient for on-line control.

引用

页码：159 / 164

页数：6