Control System Toolbox provides algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state …

Using MATLAB and Simulink control systems products, you can: Model linear and nonlinear plant dynamics using basic models, system identification, or automatic parameter estimation.

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 …

Control System Toolbox™ provides algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state …

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 …

This series covers some of the more common control techniques that you’ll encounter as a control systems engineer: gain scheduling and feedforward. Often, the best control system is the …

With MATLAB and Simulink, you can teach control systems in an interactive and engaging way. Simulink provides a block diagram environment for modeling and simulating dynamic systems, …

Control System Toolbox™ control design tools let you design and tune single-loop and multi loop control systems. Use these techniques and tools to: Automatically tune common control …

Watch these tech talk videos to learn about the controls concepts essential for analyzing and designing feedback control systems. Videos cover a wide range of topics from PID control to …

Learn the basic concepts behind controls systems. Walk through everyday examples that outline fundamental ideas, and explore open-loop and feedback control systems.