Cascade Training Multilayer Fuzzy Model for Nonlinear Uncertain System Identification Optimized by Differential Evolution Algorithm

Abstract This paper proposes a new cascade training multilayer fuzzy logic for identifying forward model of multiple-inputs multiple-outputs (MIMO) nonlinear double-coupled fluid tank system based on experiment platform. The novel multilayer fuzzy model consists of multiple MISO model; for each MISO...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Van Kien, Cao [verfasserIn]

Anh, Ho Pham Huy

Nam, Nguyen Thanh

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2017

Schlagwörter:

Multilayer fuzzy model

Cascade training

Differential evolution (DE) algorithm

Nonlinear double-coupled fluid tank system

Multiple-inputs multiple-outputs (MIMO) system

Fuzzy Takagi–Sugeno (T–S) model

Anmerkung:

© Taiwan Fuzzy Systems Association and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Übergeordnetes Werk:

Enthalten in: International journal of fuzzy systems - Taibei : Association, 2006, 20(2017), 5 vom: 05. Dez., Seite 1671-1684

Übergeordnetes Werk:

volume:20 ; year:2017 ; number:5 ; day:05 ; month:12 ; pages:1671-1684

Links:

Volltext

DOI / URN:

10.1007/s40815-017-0431-x

Katalog-ID:

SPR037858742

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