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
Stability analysis of the discrete Takagi–Sugeno fuzzy model with time-varying consequent uncertainties
✍ Scribed by Jyh-Horng Chou; Shinn-Horng Chen
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 92 KB
- Volume
- 118
- Category
- Article
- ISSN
- 0165-0114
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✦ Synopsis
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 Lyapunov equations and do not need solving any Lyapunov equation, therefore these robust stability criteria enable us to check the robust stability of the discrete TS fuzzy model with more convenient computation and enable us to analyze the robust stability of the discrete TS fuzzy model whose rules do not have a common positive-deÿnite matrix solution of Lyapunov equations. Two examples are included to illustrate the applications of the proposed methods.
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