Simulink Design Optimization™ provides functions, interactive tools, and blocks for analyzing and tuning model parameters. You can determine the model’s sensitivity, fit the model to test data, and tune it to meet requirements. Using techniques like Monte Carlo simulation and Design of Experiments, you can explore your design space and calculate parameter influence on model behavior.
Simulink Design Optimization helps you increase model accuracy. You can preprocess test data, automatically estimate model parameters such as friction and aerodynamic coefficients, and validate the estimation results.
To improve system design characteristics such as response time, bandwidth, and energy consumption, you can jointly optimize physical plant parameters and algorithmic or controller gains. These parameters can be tuned to meet time-domain and frequency-domain requirements, such as overshoot and phase margin, and custom requirements.
Discover more about Simulink Design Optimization by exploring these resources.
Explore documentation for Simulink Design Optimization functions and features, including release notes and examples.
Browse the list of available Simulink Design Optimization functions.
View a Simulink library of blocks that Simulink Design Optimization supports.
View system requirements for the latest release of Simulink Design Optimization.
View articles that demonstrate technical advantages of using Simulink Design Optimization.
Read how Simulink Design Optimization is accelerating research and development in your industry.
Find answers to questions and explore troubleshooting resources.
Use Simulink Design Optimization to solve scientific and engineering challenges: