Analyzing Design and Cost Tradeoffs Using Optimization with Simulink®

Many design problems involve performance and cost tradeoffs where the cost can be measured in dollars, weight, or footprint size. Using a Simulink® model of speed control for an engine, this webinar, to be broadcast on September 15, shows how to use Simulink Response Optimization to analyze and solve this type of tradeoff problem. Specifically we will tackle a design tradeoff relating sensor accuracy, actuator response, and controller discretization to control performance.

Through demonstrations and examples you will learn:

• How to use simulation to optimize design tradeoffs and performance specifications simultaneously
• Tips and tricks for selecting optimization options when using Simulink Response Optimization
• How to tune variables in a model to meet any performance or system specifications

Simulink Response Optimization helps you tune design parameters in Simulink models by optimizing time-based signals to meet user-defined constraints. It optimizes scalar, vector, and matrix-type variables, and constrains multiple signals at any level in the model. Simulink Response Optimization supports continuous, discrete, and multirate models, and enables you to account for model uncertainty by conducting Monte Carlo simulations.

Pre-registration is required.

  See schedule and registration information

• Simulink Response Optimization data sheet
• Simulink 6 data sheet
• MathWorks R14SP2 Product Family Overview
• Optimization Toolbox 3 data sheet