OE (Output Error)

Information

• The OE (Output Error) model is a type of linear dynamic model that is commonly used in system identification and control theory.
• The model is based on the idea that the output of a system is a function of its input and past outputs, as well as any external disturbances that may be present.
• The model is expressed in terms of a transfer function that relates the input to the output, as well as a noise model that describes the stochastic behavior of the system.
• The transfer function is typically parameterized in terms of poles and zeros, which are complex numbers that determine the frequency response of the system.
• The noise model is typically assumed to be Gaussian and white, which means that it has a constant power spectrum over all frequencies.
• The parameters of the OE model are typically estimated from input-output data using methods such as least squares or maximum likelihood estimation.
• The model can be used for a variety of applications, such as predicting the behavior of a system in response to new inputs, designing feedback controllers to regulate the system, or diagnosing faults in the system.