Model predictive controllers use linear models to control both linear and nonlinear plants that run within a local operating range. Plants with complex characteristics such as long time delays, higher-order dynamics, or strong interactions are particularly well-suited for model predictive control. To create a plant model, you can directly specify a linear model, linearize a Simulink® model, or identify a linear model using measured data. When creating a plant model for use in model predictive control, it is important to specify the input and output signal types and scale factors. For more information, see Signal Types and Specifying Scale Factors.