Title
Adaptive Numerical Methods With Arbitrary Fixed Samplings
Keywords
Adaptive linear multistep methods; Real-time simulation; Stability region; Stiff systems
Abstract
The weak stability of linear multistep methods for real-time simulation of systems leads to the design of a class of linear multistep methods with varying coefficients. These methods do not suffer from weak instability and are generally very useful, especially for real-time simulation of stiff nonlinear systems. This paper presents an adaptive technique for numerical integration that allows the simulation stepsize to be chosen independently of the system eigenvalues. The method tracks most changes in the dynamics of the system and changes accordingly the integration coefficients to ensure accuracy and stability of the simulation. © 2000 Sage Publications, Inc.
Publication Date
1-1-2000
Publication Title
JVC/Journal of Vibration and Control
Volume
6
Issue
2
Number of Pages
189-206
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/107754630000600202
Copyright Status
Unknown
Socpus ID
0034420948 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0034420948
STARS Citation
Rahrooh, Alireza and Motlagh, Barman S., "Adaptive Numerical Methods With Arbitrary Fixed Samplings" (2000). Scopus Export 2000s. 1093.
https://stars.library.ucf.edu/scopus2000/1093