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
On the continuous-time Takagi–Sugeno fuzzy systems stability analysis
✍ Scribed by Iman Zamani; Mohammad Hadad Zarif
- Publisher
- Elsevier Science
- Year
- 2011
- Tongue
- English
- Weight
- 359 KB
- Volume
- 11
- Category
- Article
- ISSN
- 1568-4946
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In this paper, we present two new robust stability criteria to analyze the robust stability of the discrete Takagi-Sugeno (TS) fuzzy dynamic model with time-varying consequent uncertainties. These proposed robust stability criteria do not need ÿnding a common positive-deÿnite matrix solution of Lyap
non-PDC) Linear matrix inequality (LMI) Stabilization a b s t r a c t This paper provides simple and effective linear matrix inequality (LMI) characterizations for the stability and stabilization conditions of discrete-time Takagi-Sugeno (T-S) fuzzy systems. To do this, more general classes of non-p