Title | ||
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Observer Design for a Class of Nonlinear Systems With Nonscalar-Input Nonlinear Consequents |
Abstract | ||
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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 |
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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 Nagy | 1 | 1 | 2.05 |
Zsófia Lendek | 2 | 45 | 4.33 |
Lucian Busoniu | 3 | 0 | 1.35 |