Title
Multi-Step Matrix Integrators For Real-Time Simulation Of Nonlinear Systems Via Estimation Techniques
Abstract
This paper presents a technique to design a class of linear multistep matrix integrators with constant coefficients. These methods do not suffer from weak instability and are generally useful for real-time simulation of stiff nonlinear systems where critical constraints are often imposed on the simulation increment. The proposed method utilizes a recursive identification to estimate the integration coefficient matrices by tracking most changes in the dynamics of the system to ensure accuracy and stability of the simulation.. A significant savings in computation time can be realized with this technique when compared with common numerical methods since the integration stepsize can be chosen arbitrarily and indepen-dently of the system's eigenvalues. A computer simulation study was conducted to evaluate the performance of the, proposed technique.
Publication Date
1-1-1999
Publication Title
Computers in Education Journal
Volume
9
Issue
1
Number of Pages
50-54
Document Type
Article
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
70449848691 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/70449848691
STARS Citation
Rahrooh, Alireza and Buchanan, Walter, "Multi-Step Matrix Integrators For Real-Time Simulation Of Nonlinear Systems Via Estimation Techniques" (1999). Scopus Export 1990s. 3804.
https://stars.library.ucf.edu/scopus1990/3804