Takagi–Sugeno fuzzy model development of batch biotechnological processes Original Research Article

The paper deals with the modelling of batch biotechnological processes based on the Takagi–Sugeno (TS) fuzzy model. Two possible process descriptions namely the input–output TS fuzzy model and state-space TS fuzzy model are discussed. A parameterised input–output TS fuzzy model is proposed. The model identification is based on the extended structure and parameter identification procedure by means of product-space fuzzy clustering. It compensates the insensibility of the clustering procedure with respect to the parameters that are maintained at a constant level during the batch fermentation. Parameterised input–output TS fuzzy model and state-space TS fuzzy model of xanthan gum production by strain Xanthomonas campestris IST-342 are introduced as a meter of illustration.