Abstract
We investigate an observed-state feedback stabilization problem involving sampled-data fuzzy systems arising from rapid growth of digital controller implementations. The underlying closed-loop fuzzy system is shown to be asymptotically stable when intersampling effects are taken into account. Being a periodically time-varying hybrid discrete/continuous system, the Riccati inequality associated with the sampled-data system poses difficulties for stabilization analysis using LMI convex programming. To resolve the difficulties, a convex solution is assumed and the main result is expressed in an LMI formulation. Finally the validity and applicability of the approach are demonstrated by an example.
| Original language | English |
|---|---|
| Pages (from-to) | 383-388 |
| Number of pages | 6 |
| Journal | IEEE International Conference on Fuzzy Systems |
| State | Published - 2005 |
| Event | IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2005 - Reno, NV, United States Duration: 22 May 2005 → 25 May 2005 |
Keywords
- Hybrid systems
- Linear matrix inequality (LMI)
- Observed-state feedback control
- Sampled-data systems
- TS fuzzy model