English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Methods of state estimation for particulate processes

Mangold, M., Steyer, C., Niemann, B., Voigt, A., & Sundmacher, K. (2006). Methods of state estimation for particulate processes. In W. Marquardt, & C. Pantelides (Eds.), 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering (pp. 1191-1196). Amsterdam: Elsevier.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-9A98-2 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-DA43-1
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Mangold, M.1, Author           
Steyer, Christiane2, Author           
Niemann, Björn2, Author           
Voigt, Andreas2, 3, Author           
Sundmacher, Kai2, 3, Author           
Affiliations:
1Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
2Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

Content

show
hide
Free keywords: -
 Abstract: Determining property distributions of particles online by measurement is difficult in many cases, especially if the particles are in the nanometre range. An alternative may be state estimation techniques, which use information from process simulations in addition to the measurement signals. Two examples of state estimators for particulate processes are presented in this contribution. The first one is an extended Kalman filter based on a population balance model. The second one is a bootstrap filter based on a Monte Carlo simulation. © 2006 Elsevier B.V. All rights reserved. [accessed 2014 January 9th]

Details

show
hide
Language(s): eng - English
 Dates: 2006
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: eDoc: 239856
DOI: 10.1016/S1570-7946(06)80208-7
 Degree: -

Event

show
hide
Title: ESCAPE16 : European Symposium on Computer Aided Process Engineering
Place of Event: Garmisch-Partenkirchen, Germany
Start-/End Date: 2006-07-09 - 2006-07-13

Legal Case

show

Project information

show

Source 1

show
hide
Title: 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering
Source Genre: Proceedings
 Creator(s):
Marquardt, W., Editor
Pantelides, C., Editor
Affiliations:
-
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1191 - 1196 Identifier: ISBN: 0-444-52969-1

Source 2

show
hide
Title: Computer Aided Chemical Engineering
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 21 C Sequence Number: - Start / End Page: - Identifier: ISSN: 1570-7946