Improving Simulink Design Optimization Performance Using Parallel Computing (Scripts) Publisher's description
from Linda Webb
Estimating plant model parameters and tuning controllers are challenging tasks
Estimating plant model parameters and tuning controllers are challenging tasks. Optimization-based methods help to systematically accelerate the tunВ¬ing process and let engineers tune multiple parameters at the same time. Further efficiencies can be gained by running the optimization in a parallel setting and distributing the computational load across multiple MATLAB workersвЂ”but how do you know when an optimization problem is a good candidate for parallelization?
Using an aerospace system model as an example, this article describes the paralВ¬lelization of a controller parameter tuning task using Parallel Computing Toolbox and Simulink Design Optimization. Topics covered include setting up an optimizaВ¬tion problem for parallel computing, the types of models that benefit from parallel optimization, and the typical optimization speed-up that can be achieved.
By Alec Stothert and Arkadiy Turevskiy, The MathWorks
This article was published in MATLAB Digest, May 2009, which you can read at http://www.mathworks.com/company/newsletters/?s_cid=nws_flex
System Requirements:MATLAB 7.8 (R2009a)
Program Release Status: New Release
Program Install Support: Install and Uninstall