Hi Alexis, an ARX model consists of the current and past values of an input up to some time step plus an additive noise component at the current time that affect the output. The output is also affected by a certain number of past outputs. The number of past inputs and past outputs that affect the current output gives the order of the model.
I think you will have to ask a more specific question if you want more information than that.
