Abstract
Detailed first-principles models of transport and reaction (based on partial differential equations) lead, after discretization, to dynamical systems of very high order. Systematic methodologies for model order reduction are vital in exploiting such fundamental models in the analysis, design and real-time control of distributed reacting systems. We briefly review some approaches to model order reduction we have successfully used in recent years, and illustrate their capabilities through (a) the design of an observer and stabilizing controller of a reaction-diffusion problem and (b) two-dimensional simulations of the transient behavior of a horizontal MOVPE reactor.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 177-184 |
| Number of pages | 8 |
| Journal | Journal of Process Control |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| State | Published - Apr 2000 |
| Event | The 5th IFAC Symposium on the Dynamics and Control of Process Systems (DYCOPS-5) - Corfu, Greece Duration: Jun 8 1998 → Jun 10 1998 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Modeling and Simulation
- Computer Science Applications
- Industrial and Manufacturing Engineering
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Shvartsman, S. Y., Theodoropoulos, C., Rico-Martínez, R., Kevrekidis, I. G., Titi, E. S., & Mountziaris, T. J. (2000). Order reduction for nonlinear dynamic models of distributed reacting systems. Journal of Process Control, 10(2), 177-184. https://doi.org/10.1016/S0959-1524(99)00029-3