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

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 …

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 …

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

This example shows how to tune compensators for a feedback control system using Control System Designer. Using Control System Designer you can: 1) Define control design …

Automatically tune common control components such as PID controllers, lead-lag networks, LQG Controllers, and Kalman filters. Graphically tune SISO compensators using classical tools …

In this series, you’ll learn some of the more practical aspects of being a control systems engineer and designing control systems. This series covers topics such as gain scheduling, feedforward …

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

Simulink Control Design enables you to design and analyze traditional and data-driven control systems modeled in Simulink. It offers tools for finding operating points and computing exact …