Affordable Access

Publisher Website

Model validation for industrial model predictive control systems

Authors
Journal
Chemical Engineering Science
0009-2509
Publisher
Elsevier
Publication Date
Volume
55
Issue
12
Identifiers
DOI: 10.1016/s0009-2509(99)00526-6
Keywords
  • Process Identification
  • Model Validation
  • Performance Assessment
  • Detection Of Abrupt Change
Disciplines
  • Computer Science

Abstract

Abstract This paper is concerned with model validation for industrial model predictive control systems. A new detection statistic is derived for validation of the plant model regardless of how the disturbance model changes. By appropriate filtering of process data, it is shown that performance of the on-line model validation and change detection algorithm can be improved. The proposed algorithm is illustrated by simulated examples as well as applications to model validation of an industrial model predictive control system.

There are no comments yet on this publication. Be the first to share your thoughts.