Intelligent digital redesign for non-linear systems: Observer-based sampled-data fuzzy control approach

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


In this study, an intelligent digital redesign (IDR) technique is proposed for an observer-based sampled-data fuzzy controller of non-linear systems. By using a Takagi-Sugeno fuzzy model, the pre-designed analog and sampled-data fuzzy controllers are supposed, and these discretised closed-loop systems are obtained, respectively. Based on the IDR problem, the authors guarantee both stability and state-matching conditions. Unlike the previous techniques, the proposed IDR not only improves the state-matching performance using the state-matching error cost function, but is also derived in the strict linear matrix inequality format. In a numerical example, the effectiveness of the proposed technique and the results of the improved performance are shown.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalIET Control Theory and Applications
Issue number1
Publication statusPublished - 2016 Jan 4

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2015R1A2A2A05001610).

Publisher Copyright:
© The Institution of Engineering and Technology 2016.

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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