The Economical Simulation Problem Conference Paper

abstract

• Think of a digital simulation as a computational device for which one must allocate three computational resources for computing: (a) the given inputs, (b) the outputs and (c) each state variable in the dynamics. This paper assigns these computational resources to guarantee a specified bound on response errors. We define the economical simulation problem (ESP) as designing the simulation of a stable linear system and distributing computational resources (wordlength) among the digital devices such that the computational cost (memory) is minimized without violating the required simulation accuracy. This problem is generally not convex because of the scaling constraint. 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.

name of conference

• 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)

authors

• Skelton, Robert

published proceedings

• 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)
• Proceedings of the IEEE Conference on Decision and Control

author list (cited authors)

• Li, F., & Skelton, R. E.

citation count

• 0

complete list of authors

• Li, Faming||Skelton, Robert E

publication date

• January 2003

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Conference on Decision and Control  Journal

Digital Object Identifier (DOI)

• 10.1109/cdc.2003.1272420

start page

• 4991

end page

• 4996

volume

• 5

URL

• http://dx.doi.org/10.1109/cdc.2003.1272420