Modeling for Process Control: High-Dimensional Systems

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Description

Most of other technologically important systems (among them, powders and other granular systems) are intrinsically nonlinear. This project is focused on building the dynamical models for granular systems as a prototype for nonlinear high-dimensional systems exhibiting complex non-equilibrium phenomena. Granular materials present a unique opportunity to study these issues in a technologically important and yet fundamentally interesting setting. Granular systems exhibit a rich variety of regimes from gas-like to solid-like depending on the external excitation. Based the combination of the rigorous asymptotic analysis, available experimental data and nonlinear signal processing tools, we developed a multi-scale approach to the modeling of ... continued below

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5 pages

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Tsimring, Lev S. September 15, 2008.

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Description

Most of other technologically important systems (among them, powders and other granular systems) are intrinsically nonlinear. This project is focused on building the dynamical models for granular systems as a prototype for nonlinear high-dimensional systems exhibiting complex non-equilibrium phenomena. Granular materials present a unique opportunity to study these issues in a technologically important and yet fundamentally interesting setting. Granular systems exhibit a rich variety of regimes from gas-like to solid-like depending on the external excitation. Based the combination of the rigorous asymptotic analysis, available experimental data and nonlinear signal processing tools, we developed a multi-scale approach to the modeling of granular systems from detailed description of grain-grain interaction on a micro-scale to continuous modeling of large-scale granular flows with important geophysical applications.

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5 pages

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  • Report No.: DOE/ER/14138-1
  • Grant Number: FG02-04ER46135
  • DOI: 10.2172/937090 | External Link
  • Office of Scientific & Technical Information Report Number: 937090
  • Archival Resource Key: ark:/67531/metadc898293

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Office of Scientific & Technical Information Technical Reports

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  • September 15, 2008

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

Description Last Updated

  • Nov. 7, 2016, 3:09 p.m.

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Tsimring, Lev S. Modeling for Process Control: High-Dimensional Systems, report, September 15, 2008; United States. (digital.library.unt.edu/ark:/67531/metadc898293/: accessed November 13, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.