Examples

Control System Professional provides a convenient environment for the design, analysis, and simulation of control systems. The following examples demonstrate how Control System Professional can be used to solve typical control engineering problems.

Extending Mathematica to Solve Control Problems

This example shows how to formulate a control problem in Mathematica, solve the problem using Control System Professional functionality, and analyze the results using standard Mathematica functions for the classical problem of controlling an inverted pendulum.

Download: Mathematica notebook | HTML

Using Interconnecting Functions for Controller Design

This example shows how the interconnecting functions available in Control System Professional can, because of their symbolic capabilities, be used for the design of a proportional-integral-derivative (PID) controller connected to a double-integrator model of the satellite control system.

Download: Mathematica notebook

Kalman Filter

This example shows how to design a Kalman filter to extract the useful signal from additive Gaussian noise for an antenna servomechanism.

Download: Mathematica notebook

Optimal Controller

This example shows how to design optimal controllers for stochastic systems.

Download: Mathematica notebook

Realizations

This example shows how to find the internally balanced realization and a reduced-order model of a single-input, single-output (SISO) system in its controllable canonical form.

Download: Mathematica notebook

Additional examples are available in the Wolfram Information Center.