Title
Observer Design for a Class of Nonlinear Systems With Nonscalar-Input Nonlinear Consequents
Abstract
This letter presents a discrete-time Takagi-Sugeno fuzzy observer design approach for a class of nonlinear systems. Instead of including all the nonlinear terms in the membership functions, some of them are kept as nonlinear consequents, and they need to fulfill a global Lipschitz condition. The form considered permits nonlinear consequents that depend on nonscalar inputs. The design conditions are defined in terms of linear matrix inequalities, and they are less restrictive than previous conditions from the literature. Two numerical examples highlight the advantages obtained.
Year
DOI
Venue
2021
10.1109/LCSYS.2020.3006355
IEEE Control Systems Letters
Keywords
DocType
Volume
Fuzzy systems,estimation,Lyapunov methods
Journal
5
Issue
ISSN
Citations 
3
2475-1456
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Zoltán Nagy112.05
Zsófia Lendek2454.33
Lucian Busoniu301.35