Observer-based control for sampled-data fuzzy systems

Ji Chang Lo, Li Tsun Hsieh

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


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 languageEnglish
Pages (from-to)383-388
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
StatePublished - 2005
EventIEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2005 - Reno, NV, United States
Duration: 22 May 200525 May 2005


  • Hybrid systems
  • Linear matrix inequality (LMI)
  • Observed-state feedback control
  • Sampled-data systems
  • TS fuzzy model


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