ISSN:
1662-0356
Source:
Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
Topics:
Natural Sciences in General
,
Technology
Notes:
Like most engineering design problems, simulationdesign for large dynamic systems should seek a trade-o® between performance and cost. Here the perfor-mance is de¯ned by simulation accuracy; and thecost is related to computational resource, measuredby the total wordlength. The simulation accuracydepends on model complexity, model realization andcomputational implementation. The optimal simula-tion problem is to determine all these factors to en-sure desired accuracy with available computationalresource. When computational cost is the primaryconcern, 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 anddistributing computational resources (wordlength)among the digital devices such that the computa-tional cost(memory) is minimized without violat-ing the required simulation accuracy. This problemis generally not convex because of the scaling con-straint. By exploring the special structure of thisjoint optimization of the choice of the realizationsand the computational resources to be applied, andunder a scaling assumption, the ESP is converted toa convex problem. Numerical results are given whichcompare this method with existing approaches
Type of Medium:
Electronic Resource
URL:
http://www.tib-hannover.de/fulltexts/2011/0528/01/42/transtech_doi~10.4028%252Fwww.scientific.net%252FAST.56.147.pdf
