This case study illustrates Kalman filter design and simulation. Both steady-state and time-varying Kalman filters are considered.
Use command-line PID tuning options to reduce overshoot in reference tracking or to improve rejection of a disturbance at the plant input. Using the pidtune command, the example
Design a two-degree-of-freedom (2-DOF) PID controller at the command line. The example also compares the 2-DOF controller performance to the performance achieved with a 1-DOF PID
Linearize a plant model at a set of design points for tuning of a gain-scheduled controller. The example then uses the resulting linearized models to configure an slTuner interface for
Create and configure an slTuner interface for a Simulink® model. The slTuner interface parameterizes blocks in your model that you designate as tunable and allows you to tune them using
Tune the following control system to achieve a loop crossover frequency between 0.1 and 1 rad/s, using looptune.
Estimate the states of a discrete-time Van der Pol oscillator and compute state estimation errors and residuals for validating the estimation. The residuals are the output estimation