A Hierarchical Modeling Technique of Industrial Plants Using Multimodel Approach

This study investigates the problem of design adequate models for non-linear large and complex plants with high uncertainties. A new hierarchical structure is considered that utilize soft computing methodologies to model the supervisor. The proposed approach is based on the combination of different modelling techniques within a hierarchical supervised structure that has the ability to model system behaviour under different operational circumstances. A Fuzzy Cognitive Map (FCM) is used to aggregate multiple models and to create a hybrid model based on the current operational conditions of the industrial process. The proposed methodology is applied to model and simulate the operation of an industrial plant.