Multiple model reduction based control approach for non linear systems

For linear plants, IMC have been shown good robustness properties against disturbances and model mismatches. However, when uncertain processes are concerned, the original IMC structure cannot be directly used for control system implementation. In this paper, an internal multiple model control (IMMC) based on linear model's library is introduced. This approach supposes the definition of a set of local models developed within each cluster. Such decomposition is obtained using the fuzzy c-means (FCM) clustering algorithm. Then the gap metric concept has been designed as a criterion to analyze the relationships among candidate models to get a reduced model bank.