Supported Systems Models
A microcontroller is essentially an input-output device that reads inputs, performs computations and sends out outputs. The various systems models are a natural framework to describe the input-output structure and the computations. These include discrete-time TransferFunctionModel, StateSpaceModel, AffineStateSpaceModel, NonlinearStateSpaceModel and SystemsConnectionsModel. They can be used to describe filters, controllers and other input-output models for signal processing, controller design, modeling and data acquisition.
A TransferFunctionModel can be used to describe linear systems like an integrator.
Deploy the integrator.
The corresponding StateSpaceModel.
Deploy the state-space realization of the integrator.
The code footprint of the state-space realization is typically smaller.
An AffineStateSpaceModel can describe a system that is only input linear but not linear in the states. This is useful to describe nonlinear estimators, controllers based on a linear observer and nonlinear state feedback or models for HIL simulation. The model of a nonlinear estimator. »
It is input linear.
Deploy the estimator.
A NonlinearStateSpaceModel can describe a system that is nonlinear in the inputs as well. A nonlinear state feedback controller. »
Deploy the controller.
A SystemsConnectionsModel can describe a system of connected systems.
The components of the controller.
Deploy the controller.
