T-S fuzzy synchronization of chaotic systems via receding horizon control

Ki Ahn Choon, Kyou Song Moon, Dong Lee Chul

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a new synchronization method for Takagi-Sugeno (T-S) fuzzy chaotic systems via receding horizon control. A matrix inequality condition on the terminal weighting matrix is proposed for T-S fuzzy chaotic systems under which nonincreasing monotonicity of the optimal cost is guaranteed. It is shown that the proposed terminal inequality condition guarantees the closed-loop stability of the fuzzy receding horizon synchronization (FRHS) method for chaotic systems. As an application of the proposed method, the FRHS problem for the Lorenz system is investigated.

Original languageEnglish
Title of host publicationICCAS 2010 - International Conference on Control, Automation and Systems
Pages209-213
Number of pages5
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
Duration: 2010 Oct 272010 Oct 30

Publication series

NameICCAS 2010 - International Conference on Control, Automation and Systems

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2010
Country/TerritoryKorea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

Keywords

  • Cost monotonicity
  • Linear matrix inequality (LMI)
  • Receding horizon control (RHC)
  • Takagi-Sugeno (T-S) fuzzy model, chaos synchronization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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