
Автор: Perez C.
Название: Design of experiments by examples using MATLAB
Издательство: Amazon Digital Services LLC
Год: 2017
ASIN: B076KSNJGK
Язык: English
Формат: azw3, pdf
Размер: 10,4 mb
Страниц: 204
MATLAB Model-Based Calibration Toolbox provides apps and design tools for optimally calibrating complex experimental designs models. This Toolbox use an Apps that support the entire workflow: designing experiments, fitting statistical models to engine data, and producing optimal calibrations. Also support Design-of-Experiments methodology for reducing testing time through classical, space-filling, and optimal design techniques, This Toolbox accurate engine modeling with data fitting techniques including Gaussian process, radial basis function, and linear regression modeling. Other options are: Boundary modeling to keep optimization results within the engine operating envelope, Generation of lookup tables from optimizations over drive cycles, models, or test data. Also is possible export of performance-optimized models to Simulink for use in simulation and HIL testing
