Paper Title:
Optimal Simulation for Large Dynamic Systems
  Abstract

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, F. M. Li, M. de Oliveira, "Optimal Simulation for Large Dynamic Systems", Advances in Science and Technology, Vol. 56, pp. 147-153, 2008
Online since
September 2008
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