Abstract
The nonlinear Takagi-Sugeno fuzzy model with offset terms is analyzed as a perturbed linear system. A sufficient criterion for robust stability of the linear system against nonlinear perturbations guarantees quadratic stability of the fuzzy model. The criterion accepts a convex program formulation of reduced computational cost compared to the common Lyapunov matrix approach. Parametric robust control techniques suggest synthesis tools for stabilization of the fuzzy system. Application examples on fuzzy models of nonlinear plants demonstrate the efficiency of the method.
Original language | English (US) |
---|---|
Pages | 277-282 |
Number of pages | 6 |
State | Published - 1996 |
Event | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3) - New Orleans, LA, USA Duration: Sep 8 1996 → Sep 11 1996 |
Other
Other | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 1 (of 3) |
---|---|
City | New Orleans, LA, USA |
Period | 9/8/96 → 9/11/96 |
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Artificial Intelligence
- Applied Mathematics