Title
Sampled-Data H-infinity Fuzzy Observer for Uncertain Oscillating Systems With Immeasurable Premise Variables
Abstract
This paper proposes a sampled-data H-infinity 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-infinity performance function for the oscillating system is defined and is guaranteed in the Lyapunov sense. Sufficient conditions for the H-infinity 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.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2872728
IEEE ACCESS
Keywords
DocType
Volume
H-infinity fuzzy observer,sampled-data system,uncertain oscillating system,Takagi-Sugeno (T-S) fuzzy model,linear matrix inequality (LMI)
Journal
6
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
junho kim1104.56
Jin Bae Park21351102.77
Young Hoon Joo373876.87