Dynamic optimization of multiscale PDE/kMC process systems using nonlinear order reduction and tabulation techniques

Amit Varshney, Antonios Armaou

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

Abstract

The problem of dynamic optimization for multiscale systems comprising of coupled continuum and discrete descriptions is considered. The solution of such problems is challenging owing to large computational requirements of the multiscale process model. This problem is addressed by developing a reduced multiscale model. This is achieved by combining order reduction techniques for dissipative partial-differential equations with adaptive tabulation of microscopic simulation data. The optimization problem is subsequently formulated and solved using standard search algorithms. The proposed method is applied to a representative catalytic oxidation process where optimal inlet concentration profiles are computed to guide the microscopic system from one stable stationary state to another stable stationary state.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Pages953-959
Number of pages7
DOIs
StatePublished - Dec 1 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Other

Other2007 American Control Conference, ACC
CountryUnited States
CityNew York, NY
Period7/9/077/13/07

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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