Construction of Minimal Models for Control Purposes

摘要

Minimal representations are known to have no redundant elements, therefore are of great importance. Based on the notions of performance and quality indices and measures for process systems, the paper proposes conditions for a process model being minimal in a set of functionally equivalent models with respect to a quality norm. Existing procedures to obtain minimal process models for a given modelling goal are discussed and generalized. The notions and procedures are illustrated and compared on a simple case study, on the example of a simple nonlinear fermentation process model.