# Videos

• Design and analyze control systems using Control System Toolbox™.
• Design PID controllers using Control System Toolbox.
• Design control systems with the Control System Designer app.
• Identify a plant model from measured input-output data and use this model to tune PID Controller gains.
• Design and implement a gain-scheduled PID controller for a continuous-stirred tank reactor using Simulink Control Design™.
• Design and analyze a controller for different operating points of a nonlinear plant simultaneously.
• Learn how to get started with using MATLAB ® and Simulink ® products for designing control systems.
• Approximate nonlinear Simulink ® model with a low-order linear model.
• Discover situations in which you’d use Kalman filters. Kalman filters are used to estimate the internal states of a system in the presence of uncertain and indirect measurements. Learn the principles...
• Learn the basic concepts behind controls systems. Walk through everyday examples that outline fundamental ideas, and explore open-loop and feedback control systems.
• Understand key aspects of Bode plots such as how frequency domain analysis helps you understand behavior of physical systems, the principal characteristics of a Bode plot, building Bode plots for first-order systems and building Bode plots for second- and higher-order systems.
• Understand how to use Bode plots by learning desired frequency domain shapes for sensitivity and complementary sensitivity transfer functions, what gain margin and phase margins are and how to use them for control, frequency domain characteristics of lead, lag, and PID controllers, and how to use Bode plots for DC motor speed control.
• Create and analyze state-space models using MATLAB ® and Control System Toolbox™. State-space models are commonly used for representing linear time-invariant (LTI) systems.
• Design a full-state feedback controller using pole placement with Control System Toolbox™.
• Work with transfer functions using MATLAB ® and Control System Toolbox™.
• Create transfer functions in Simulink ® , and learn how they can be used to model and simulate complex systems.
• Extract transfer functions from linear and nonlinear Simulink ® models using the Linear Analysis Tool.