I. Introduction
State and faults estimation is widely applied for control systems and/or diagnosis. Often, the system state can not be measured and it will be necessary to estimate it. This method is applied with efficiency for the case of linear models. However, in often cases, process can not be supposed linear. In this case, artificial neural networks can be used to estimate the system state.