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. © 2001 Elsevier Science Inc.
Georgieva, O., Wagenknecht, M., & Hampel, R. (2001). Takagi-Sugeno fuzzy model development of batch biotechnological processes. International Journal of Approximate Reasoning, 26(3), 233–250. https://doi.org/10.1016/S0888-613X(01)00027-5