Sampled-Data  $H_\infty$  Fuzzy Observer for Uncertain Oscillating Systems With Immeasurable Premise Variables | Zendy

Ho Jun Kim | Zendy; Jin Bae Park | Zendy; Young Hoon Joo | Zendy

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Sampled-Data

$H_\infty$

Fuzzy Observer for Uncertain Oscillating Systems With Immeasurable Premise Variables

Author(s) -

Ho Jun Kim,

Jin Bae Park,

Young Hoon Joo

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2872728

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper proposes a sampled-data H_∞ fuzzy observer technique for nonlinear uncertain oscillating systems that are represented by the Takagi-Sugeno fuzzy model. The observers are designed for two cases: a measurable premise variable and an immeasurable premise variable. The error system between the nonlinear uncertain system and the sampled-data observer is constructed. The H_∞ performance function for the oscillating system is defined and is guaranteed in the Lyapunov sense. Sufficient conditions for the H_∞ sampled-data fuzzy observer are given in terms of linear matrix inequalities. Finally, the feasibility of the proposed technique is shown using two simulation examples.

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