Design a model predictive controller at the command line using an identified plant model.
Design an MPC controller for a blending process using custom input and output constraints.
Design an unconstrained MPC controller that provides performance equivalent to an LQR controller.
Analyze a model predictive controller using cloffset . This function computes the closed-loop, steady-state gain for each output when a sustained, 1-unit disturbance is added to each
Obtain an LTI representation of an unconstrained MPC controller using ss . You can use this to analyze the frequency response and performance of the controller.
Design a model predictive controller with non-zero nominal values.
Specify scale factors in MPC controller to make weight tuning easier.
Obtain bumpless transfer when switching model predictive controller from manual to automatic operation or vice versa.
Compute numerical derivatives of a closed-loop cumulated performance index with respect to weights and use them to improve model predictive controller performance.
Guarantee the worst-case execution time of an MPC controller in real-time applications by using the suboptimal solution returned by the optimization solver.
You can simulate the closed-loop response of an MPC controller with a custom quadratic programming (QP) solver in Simulink®.
Design a model predictive controller for a DC servomechanism under voltage and shaft torque constraints.
Vary input and output saturation limits in real-time control. For both command-line and Simulink® simulations, you specify updated input and output constraints at each control interval.
Design a model predictive controller in MATLAB for a high-fidelity distillation tower model built in Aspen Plus Dynamics®. The controller performance is then verified through
Design a model predictive controller for a plant with two inputs and one output with target setpoint for a manipulated variable.
You can review your model predictive controller design for potential stability and robustness problems. To do so:
Uses a model predictive controller (MPC) to control an inverted pendulum on a cart.
Control a thermo-mechanical pulping (TMP) plant with a model predictive controller.
Simulate a model predictive controller under a mismatch between the predictive plant model and the actual plant.
Use non-diagonal weight matrices in a model predictive controller.