Exponential mean-square stabilisation for non-linear systems: Sampled-data fuzzy control approach

G. B. Koo, J. B. Park, Y. H. Joo

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


This study presents a sampled-data fuzzy control problem for non-linear systems with packet losses. A Takagi-Sugeno (T-S) fuzzy model is adopted for the non-linear systems and the packet loss is separately considered for the independent, identically distributed and Markovian cases. The sampled-data fuzzy controllers are designed for a T-S fuzzy model. Based on the closed-loop system, sufficient conditions are derived for the exponential mean-square stabilisation and formulated in terms of linear matrix inequalities. Finally, a numerical example is provided to verify the effectiveness of the proposed technique.

Original languageEnglish
Pages (from-to)2765-2774
Number of pages10
JournalIET Control Theory and Applications
Issue number18
Publication statusPublished - 2012 Dec 6

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Control and Optimization
  • Electrical and Electronic Engineering


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