On the Control System tab, you can select a compensator tuning method, and create response plots for analyzing your controller performance. You can also store, compare, and export …

Use Control System Toolbox to model, analyze, and design control systems in MATLAB. This toolbox lets you implement classical and modern control techniques.

Use reference application examples for flight control, power electronics, robotics, and other applications to design and analyze controllers for systems modeled in Simulink.

Automatically tune SISO or MIMO control systems to meet high-level design goals such as reference tracking, disturbance rejection, and stability margins, regardless of control system …

Using the Control System Designer (Control System Toolbox) app, you can design and optimize control systems for LTI models by optimizing controller parameters. To use optimization …

To design and analyze control systems modeled in the Simulink environment, consider using Simulink Control Design software. Simulink Control Design extends Simulink, allowing you to …

The Control System Designer app lets you design single-input, single-output (SISO) controllers for feedback systems modeled in MATLAB ® or Simulink ® (requires Simulink Control Design™ …

As a control systems engineer, you can use MATLAB ® and Simulink ® at all stages of development, including plant modeling, controller design, deployment with automatic code …

Control system engineers use MATLAB and Simulink at all stages of development – from plant modeling to designing and tuning control algorithms and supervisory logic, all the way to …

Design and model control systems with Simulink. Topics include system identification, parameter estimation, control system analysis, and response optimization.