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Design OF Experiments by Examples Using Matlab
Design OF Experiments by Examples Using Matlab by Pérez C.
English | 18 Oct. 2017 | ISBN: 1974098109 | ASIN: B076KSNJGK | 204 Pages | AZW3 | 4.85 MB

MATLAB Model-Based Calibration Toolbox provides apps and design tools for optimally calibrating complex experimental designs models. This Toolbox use un 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 posible export of performance-optimized models to Simulink for use in simulation and HILtesting
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