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-space, zero-pole-gain, or frequency-response model. Apps and functions, such as step response plot and Bode plot, let you analyze and visualize system behavior in the time and frequency domains.
You can tune compensator parameters using interactive techniques such as Bode loop shaping and the root locus method. The toolbox automatically tunes both SISO and MIMO compensators, including PID controllers. Compensators can include multiple tunable blocks spanning several feedback loops. You can tune gain-scheduled controllers and specify multiple tuning objectives, such as reference tracking, disturbance rejection, and stability margins. You can validate your design by verifying rise time, overshoot, settling time, gain and phase margins, and other requirements.
Transfer-function, state-space, zero-pole-gain, and frequency-response models of linear systems
Step response, Nyquist plot, and other time-domain and frequency-domain tools for analyzing stability and performance
Automatic tuning of PID, gain-scheduled, and arbitrary SISO and MIMO control systems
Root locus, Bode diagrams, LQR, LQG, and other classical and state-space design techniques
Model representation conversion, continuous-time model discretization, and low-order approximation of high-order systems