Model equations are an abstraction of a system where the dynamic behavior is described with differential, difference, and algebraic equations.

Designing model behavior is a process where you derive the model equations from first principles and data experimentally collected from the system. Use Simulink^® to visually represent the model equations in an executable format where you can simulate and observe model behavior over time.

Designing model behavior also includes the process of creating algorithms and adding equations to a model that result in a change to the model behavior. For example, you can add a controller algorithm to a motor model for regulating the rotational speed, or you can add a filter algorithm to a communication model that removes interfering noise.