Current observer for sampled-data fuzzy systems

Ji Chang Lo, Chien Hao Su

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


We investigate an observer synthesis and stability analysis involving sampled-data fuzzy systems arising from rapid growth of digital observer implementations. The underlying error 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 fuzzy system poses difficulties for synthesis and analysis using LMI convex programming. To resolve the difficulties, a convex solution is assumed and the main result is expressed in LMI formulation. Lastly the validity and applicability of the approach are demonstrated by an example.

Original languageEnglish
Pages (from-to)4210-4214
Number of pages5
JournalProceedings of the American Control Conference
StatePublished - 2005
Event2005 American Control Conference, ACC - Portland, OR, United States
Duration: 8 Jun 200510 Jun 2005


  • Current observer
  • Hybrid systems
  • Linear matrix inequality (LMI)
  • Sampled-data systems
  • TS fuzzy model


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