The multiscale nature of process dynamics and model-predictive control

Orhan I. Karsligil, George Stephanopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Time-scale domain is a more natural setting for the analysis and design of state estimation and control systems, given the multi-scale character of physicochemical processes. In this paper we present a multi-scale approach in modeling processes and employ these models in deriving a model-predictive controller design framework with significant advantages over traditional time-domain or frequency-domain design methods.

Original languageEnglish (US)
Title of host publicationProceedings of the World Congress on Intelligent Control and Automation (WCICA)
PagesV-IX
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China
Duration: Jun 21 2006Jun 23 2006

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume1

Other

Other6th World Congress on Intelligent Control and Automation, WCICA 2006
CountryChina
CityDalian
Period6/21/066/23/06

Keywords

  • Model-predictive control
  • Multiscale
  • Time-scale

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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