Fuzzy-model-based sampled-data chaotic synchronisation under the input constraints consideration

Han Sol Kim, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


In this study, the authors propose a novel sampled-data fuzzy chaotic synchronisation scheme under the input constraints consideration. The sampled-data chaos synchronisation controller feedbacks the synchronisation error between the state vectors of both the drive chaotic system and the response chaotic system at a constant sampling period. The chaotic synchronisation is achieved by stabilising the synchronisation error dynamics based on the H-infinity criterion. Linear matrix inequality-based sufficient conditions for synchronising two identical chaotic systems are derived based on the newly proposed time-dependent fuzzy Lyapunov–Krasovskii functional. Unlike previous approaches, the modelling error term is fully addressed so as to enhance the synchronisation performance. Finally, the effectiveness of the proposed method is validated through a numerical example.

Original languageEnglish
Pages (from-to)288-296
Number of pages9
JournalIET Control Theory and Applications
Issue number2
Publication statusPublished - 2019 Jan 29

Bibliographical note

Funding Information:
This work was supported by Barun ICT Research Center at Yonsei University, 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 Korean government (MEST) (NRF-2015R1A2A2A05001610).

Publisher Copyright:
© The Institution of Engineering and Technology 2018.

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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