Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear 
Dynamical Systems

Yue, Yao; Li, Suzhou; Feng, Lihong; Seidel-Morgenstern, Andreas; Benner, Peter

doi:10.1201/b17488-80

Local TagsRelease HistoryDetailsSummary

Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems

Yue, Y., Li, S., Feng, L., Seidel-Morgenstern, A., & Benner, P. (2014). Using Model Order Reduction to Accelerate Optimization of Multi-Stage Linear Dynamical Systems. In Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014 (pp. 453-458).

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-3663-9 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-81C4-0

Genre: Conference Paper

Files

show Files

Locators

show

Creators

show

hide

Creators:
Yue, Yao¹, Author
Li, Suzhou¹, Author
Feng, Lihong¹, Author
Seidel-Morgenstern, Andreas², Author
Benner, Peter¹, Author

Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141
2Physical and Chemical Foundations of Process Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738150

Content

show

Details

show

hide

Language(s):

Dates: Date issued: 2014

Publication Status: Issued

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: Peer

Identifiers: DOI: 10.1201/b17488-80

Degree: -

Event

show

hide

Title: 4th International Conference on Engineering Optimization

Place of Event: Lisbon, Portugal

Start-/End Date: 2014-09-08 - 2014-09-11

Legal Case

show

Project information

show

Source 1

show

hide

Title: Engineering Optimization IV - Proceedings of the 4th International Conference on Engineering Optimization, ENGOPT 2014

Source Genre: Proceedings

Creator(s):

Affiliations:

Publ. Info: -

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 453 - 458 Identifier: ISBN: 978-1-138-02725-1