비디오

  • 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.
  • Learn how frequency domain analysis helps you understand behavior of physical systems in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn the principal characteristics of a Bode plot in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn how to build Bode plots for first-order systems in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn how to build Bode plots for second- and higher-order systems in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn the desired frequency domain shapes for sensitivity and complementary sensitivity transfer functions in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn how to achieve desired closed-loop characteristics by shaping open-loop frequency response in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn what gain margin and phase margins are and how to use them for control design in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn frequency domain characteristics of lead, lag, and PID controllers in this MATLAB ® Tech Talk by Carlos Osorio.
  • Learn how to use Bode plots for DC motor speed control in this MATLAB ® Tech Talk by Carlos Osorio.
  • 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.