Superstable Models for Short-Duration Large-Domain Wave Propagation

Minh Q. Phan (), Stephen A. Ketcham (), Richard S. Darling () and Harley H. Cudney ()
Additional contact information
Minh Q. Phan: Dartmouth College, Thayer School of Engineering
Stephen A. Ketcham: Engineer Research and Development Center
Richard S. Darling: Sound Innovations, Inc.
Harley H. Cudney: Engineer Research and Development Center

A chapter in Modeling, Simulation and Optimization of Complex Processes, 2012, pp 257-269 from Springer

Abstract: Abstract This paper introduces a superstable state-space representation suitable for modeling short-duration wave propagation dynamics in large domain. The true system dimensions and the number of output nodes can be extremely large, yet one is only interested in the propagation dynamics during a relatively short time duration. The superstable model can be interpreted as a finite-time version of the standard state-space model that is equivalent to the unit pulse response model. The state-space format of the model allows to user to take advantage of extensive state-space based tools that are widely available for simulation, model reduction, dynamic inversion, Kalman filtering, etc. The practical utility of the new representation is demonstrated in modeling the acoustic propagation of a sound source in a complex city center environment.

Keywords: Sound Source; System Matrix; Model Reduction; Superstable Representation; Wave Propagation Problem (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-25707-0_21

Ordering information: This item can be ordered from
http://www.springer.com/9783642257070

DOI: 10.1007/978-3-642-25707-0_21

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().