Sampled-data Control of Fuzzy Systems Based on the Intelligent Digital Redesign Technique: An Input-delay Approach

Han Sol Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


In this paper, a novel intelligent digital redesign (IDR) method for a Takagi-Sugeno fuzzy system is proposed based on the guaranteed cost method. The objective of the IDR is to determine a sample-data data gain that achieves the same performance as a given continuous-time controller. Unlike previous works, we use the state-matching error cost function and develop an IDR technique without the use of any discretization methods. To this end, a sufficient condition guaranteeing both the asymptotic stabilization of the error dynamics model and the minimization of the upper bound of the error cost function is formulated in terms of linear matrix inequalities based on the input-delay approach. Finally, a simulation example validates the superiority of the proposed method.

Original languageEnglish
Pages (from-to)327-334
Number of pages8
JournalInternational Journal of Control, Automation and Systems
Issue number1
Publication statusPublished - 2018 Feb 1

Bibliographical note

Funding Information:
Manuscript received May 8, 2017; accepted June 6, 2017. Recommended by Associate Editor Ho Jae Lee under the direction of Editor Euntai Kim. This work was supported by Barun ICT Research Center at Yonsei University, and by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1A6A1A03013567) and by the Ministry of Trade, Industry & Energy (MOTOE) of the Republic of Korea (No. 20174030201670).

Publisher Copyright:
© 2018, Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature.

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications


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