ARX models, which stand for AutoRegressive with eXogenous inputs, are a type of linear model used to describe the relationship between a system's output and its past values, as well as external input variables. These models are widely applied in system identification and control engineering, allowing for effective modeling of dynamic systems and their responses to various inputs. By using past output values along with additional input data, ARX models enable more accurate predictions and analyses of system behavior.