4 May 2012 Data models as a general fast framework for converting simulations at all scales into fast real-time approximations
Author Affiliations +
Proceedings Volume 8403, Modeling and Simulation for Defense Systems and Applications VII; 84030F (2012); doi: 10.1117/12.915182
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States
Abstract
Data Modeling is a process that can convert non-real-time algorithms into functional approximations that can be executed in near real-time as platform independent mathematical equations or information transfer functions. These functional approximations are converted into a form amenable for streaming real-time execution by being converted into pre-calculated look-up table (LUT) form. We present the technique and relevant theory and demonstrate how this method can be applied to high level interactions, system level modeling and component modeling using a common framework. An important benefit of our technique is the ability to predict anomalous parameters from our models.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger Jaenisch, James Handley, "Data models as a general fast framework for converting simulations at all scales into fast real-time approximations", Proc. SPIE 8403, Modeling and Simulation for Defense Systems and Applications VII, 84030F (4 May 2012); doi: 10.1117/12.915182; https://doi.org/10.1117/12.915182
PROCEEDINGS
38 PAGES


SHARE
KEYWORDS
Data modeling

Evolutionary algorithms

Bismuth

Differential equations

Mathematical modeling

Sensors

Electronic filtering

Back to Top