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New methods of fuzzy sampled-data control for stabilization of chaotic systems

Version 2 2024-06-06, 01:48
Version 1 2019-02-06, 15:00
journal contribution
posted on 2024-06-06, 01:48 authored by TH Lee, JH Park
This paper focuses on developing new design methods of the sampled-data controller for chaotic systems which are represented as Takagi-Sugeno (T-S) fuzzy models. Two novel approaches, sampling-instant-to-present-time fragmentation and free-matrix-based time-dependent discontinuous Lyapunov approach, are proposed for the first time. Based on the two new approaches, the T-S fuzzy sampled-data controller is designed for stabilization of chaotic systems under large sampling period. The superiority of proposed results is shown by a numerical example.

History

Journal

IEEE transactions on systems, man, and cybernetics: systems

Volume

48

Pagination

2026-2034

Location

Piscataway, N.J.

ISSN

2168-2216

eISSN

2168-2232

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2017, IEEE

Issue

12

Publisher

Institute of Electrical and Electronics Engineers