MathWorks today announced that Simulink Design Optimization now includes a new sensitivity analysis tool to support design space exploration. The tool, introduced as part of Release 2016a, allows design engineers using Simulink Design Optimization to interactively conduct design of experiments and Monte Carlo simulations of Simulink models.
Design engineers frequently need to determine how changes to the parameters in their model impact behavior. By identifying which parameters have the greatest influence on design characteristics such as fuel efficiency, engineers can gain confidence that their design meets the specified requirements. The sensitivity analysis tool helps perform analysis through Monte Carlo simulations, which enable the exploration of a large design space. The tool helps to interactively specify multiple parameter variations, incorporate a number of standard and custom design requirements, and analyze the results of these simulations graphically and quantitatively.
The results of sensitivity analysis can be used to directly influence the design, as well as improve the performance of numerical optimization tasks such as fitting models to test data and tuning models to meet design requirements. Simulink Fast Restart and Parallel Computing Toolbox can help speed up the sensitivity analysis tool’s performance.
“Growing design complexity is creating increasingly large models. To maintain model accuracy, engineers are challenged with identifying which model parameters impact behavior the most,” said Paul Barnard, design automation director, MathWorks. “Now, engineers can use Simulink Design Optimization to determine model sensitivity, fit the model to test data, and tune it to meet requirements.”
To learn more about Simulink Design Optimization, please visit mathworks.com/products/sl-design-optimization.