An improved H∞ fuzzy filter for nonlinear sampled-data systems

Abstract This paper presents an H∞ fuzzy filter design method for nonlinear sampled-data systems that are represented by a Takagi–Sugeno (T–S) fuzzy model. An error system between the T–S fuzzy system and the fuzzy filter is obtained to analyze the sampled-data system and solve the filter synthesis...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Kim, Ho Jun [verfasserIn]

Park, Jin Bae

Joo, Young Hoon

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2017

Schlagwörter:

fuzzy filter

linear matrix inequality (LMI)

sampled-data system

Takagi–Sugeno (T–S) fuzzy model

Anmerkung:

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg 2017

Übergeordnetes Werk:

Enthalten in: International Journal of Control, Automation and Systems - Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers, 2009, 15(2017), 3 vom: 27. März, Seite 1394-1404

Übergeordnetes Werk:

volume:15 ; year:2017 ; number:3 ; day:27 ; month:03 ; pages:1394-1404

Links:

Volltext

DOI / URN:

10.1007/s12555-016-0088-5

Katalog-ID:

SPR026434172

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