Model-Based Calibration Toolbox provides design tools for optimally calibrating complex powertrain systems using statistical modeling and numeric optimization. You can define test plans, develop statistical models, and generate calibrations and lookup tables for complex high-degree-of-freedom engines that would require exhaustive testing using traditional methods. By using the toolbox with MATLAB and Simulink you can develop a process for systematically identifying the optimal balance of engine performance, missions, and fuel economy, and reuse statistical models for control design, hardware-in-the-loop testing, or powertrain simulation.
Calibration Systems with MATLAB by Examples. Statistical Modeling, Optimization and Design of Experiments by Parker K.-P2P
English | 21 Oct. 2016 | ISBN: 1539659658 | 284 Pages | PDF | 8,93 MB