Closed-loop Performance Diagnosis for Model Predictive Control Systems

被引：0

作者：

Bombois, Xavier ^{[1
]}

Potters, Max ^{[1
]}

Mesbah, Ali ^{[2
]}

机构：

[1] Delft Univ Technol, Delft Ctr Syst & Control, NL-2628 CD Delft, Netherlands

[2] MIT, Dept Chem Engn, Cambridge, MA 02139 USA

来源：

2014 EUROPEAN CONTROL CONFERENCE (ECC) | 2014年

关键词：

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：

The time-varying dynamics of real systems often limit the life-time performance of model predictive control applications. A critical step for cost-effective maintenance of control systems is to distinguish between control-relevant plant changes and variations in disturbance characteristics in the event of an observed closed-loop performance drop. This paper addresses the latter performance diagnosis problem for a general class of model predictive control systems using prediction error identification. The performance diagnosis approach is demonstrated with a simulation case study.

引用

页码：264 / 269

页数：6

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