The Multiscale Nature of Process Dynamics and Model-Predictive Control

Author

Karsligil, Orhan I. ; Stephanopoulos, George

Author_Institution

Dept. of Chem. Eng., Massachusetts Inst. of Technol., Cambridge, MA

Volume

1

fYear

0

fDate

0-0 0

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

Keywords

chemical engineering; predictive control; process control; state estimation; control system; frequency-domain design; model predictive control; model predictive controller; multiscale character; multiscale nature; physicochemical process; process dynamics; process modeling; state estimation; time-domain design; time-scale domain; Biological system modeling; Controllability; Frequency measurement; Optimal control; Process control; Sampling methods; Stability; State estimation; Time domain analysis; Time measurement; Multiscale; model-predictive control; time-scale;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713393

Filename

1713393