Optimal Simulation for Large Dynamic Systems

Abstract:

Article Preview

Like most engineering design problems, simulation design for large dynamic systems should seek a trade- o® between performance and cost. Here the perfor- mance is de¯ned by simulation accuracy; and the cost is related to computational resource, measured by the total wordlength. The simulation accuracy depends on model complexity, model realization and computational implementation. The optimal simula- tion problem is to determine all these factors to en- sure desired accuracy with available computational resource. When computational cost is the primary concern, one can minimize the computational re- source with simulation accuracy constraint. We de- ¯ne the economical simulation problem (ESP) as de- signing the simulation of a stable linear system and distributing computational resources (wordlength) among the digital devices such that the computa- tional cost(memory) is minimized without violat- ing the required simulation accuracy. This problem is generally not convex because of the scaling con- straint. By exploring the special structure of this joint optimization of the choice of the realizations and the computational resources to be applied, and under a scaling assumption, the ESP is converted to a convex problem. Numerical results are given which compare this method with existing approaches.

Info:

Periodical:

Edited by:

Pietro VINCENZINI and Fabio CASCIATI

Pages:

147-153

DOI:

10.4028/www.scientific.net/AST.56.147

Citation:

R. E. Skelton et al., "Optimal Simulation for Large Dynamic Systems", Advances in Science and Technology, Vol. 56, pp. 147-153, 2008

Online since:

September 2008

Export:

Price:

$35.00

In order to see related information, you need to Login.