Takagi-Sugeno fuzzy model development of batch biotechnological processes

International Journal of Approximate Reasoning

Volumn 26, Issue 3, 2001, Pages 233-250

  Georgieva, Olga ^a   Wagenknecht, Michael ^b   Hampel, Rainer ^b  

^a BULGARIAN ACADEMY OF SCIENCES   (Bulgaria)

^b UNIVERSITY OF APPLIED SCIENCES   (Germany)

Author keywords

Batch biotechnological processes; Fuzzy modelling; Nonlinear identification; Takagi Sugeno fuzzy model

Indexed keywords

BIOTECHNOLOGY; DATA STRUCTURES; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; PARAMETER ESTIMATION; STATE SPACE METHODS;

BATCH BIOTECHNOLOGICAL PROCESSES; TAKAGI-SUGENO FUZZY MODELS;

FUZZY SETS;

EID: 0035309034     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0888-613X(01)00027-5     Document Type: Article

References (16)

1. Fuzzy identification of systems and its applications to modelling and control
2. Constructing fuzzy models by product space clustering
3. Fuzzy modelling of enzymatic Penicillin-G conversion
4. A methodology to model fuzzy systems using fuzzy clustering in a rapid-prototyping approach
5. Identification of MIMO systems by input-output TS fuzzy models
6. Promising fuzzy modelling and control methodologies for industrial applications
7. A new approach to the identification of a fuzzy model
8. A clustering algorithm for fuzzy model identification
9. About the use of fuzzy clustering techniques for fuzzy model identification
10. Batch kinetics of microbial polysaccharide biosynthesis
11. The influence of fermentor hydrodynamics on xanthan production by X.Campestris
12. Extracellular microbial polysaccharides. I. Glucose, biomass, and product kinetic equations for batch xanthan gum fermentation
13. Rate and yield relationships in the production of xanthan gum batch fermentation using complex chemical defined growth media
14. Mathematical kinetic model of xanthan gum fermentation
15. Takagi-Sugeno-type fuzzy modelling of batch biotechnological processes