AIDA
 Advanced Identification and Data Analysis
 AIDA is a complementary identification package that goes together with Exasmoc. A fundamental requirement for an ideal predictive controller is the 'model'. A user-friendly package, AIDA helps to constantly engineer the model.

 Key Features of AIDA
 • Model estimation via constrained or non-linear optimization
 • Model types include first order with delay; second order with delay and ramp models
 • Prediction horizon concept to capture long-term dynamics in modeling a process
 • Unmeasured disturbance and noise model
 • Correlation analysis of residuals to judge quality of data and models
 • Able to handle multiple data sets
 • Cross-validation - using a model from one data set to predict the behavior of another data set
  

Coupled with a user-friendly interface, the mentioned features make AIDA an ideal tool on which
 the model can be built.