Takagi–Sugeno fuzzy model development of batch biotechnological processes
✍ Scribed by Olga Georgieva; Michael Wagenknecht; Rainer Hampel
- Book ID
- 108457748
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 431 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0888-613X
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The motivation for the work presented in this paper results from the need to ÿnd fuzzy controllers with a common observability Gramian for discrete Takagi-Sugeno fuzzy systems. The developed approach is based on the parallel distributed compensation concept. For each rule of the discrete Takagi-Suge
The nonlinear dynamic Takagi-Sugeno fuzzy model with offset terms is analyzed as a perturbed linear system. A sufficient criterion for the robust stability of this nominal system against nonlinear perturbations guarantees quadratic stability of the fuzzy model. The criterion accepts a convex program