Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics

Dongming Wang; Levent Acar

Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics

Dongming Wang
, Levent Acar

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

In this article, the identification of a dynamical system with unmodeled fast dynamics using type-1 and type-2 fuzzy sets is considered. After presenting a singular perturbation representation of the dynamical system, type-1 and type-2 fuzzy identification models of the system are derived. The flexibility of a type-2 fuzzy model in terms of adjusting to the new dynamics is presented. The identification results for both models and the advantages of using type-2 fuzzy identification are also discussed.

Original language	American English
Journal	Intelligent Engineering Systems Through Artificial Neural Networks
Volume	9
State	Published - Nov 1 1999

Keywords

Fuzzy sets
Mathematical models
Neural networks
Perturbation techniques
Unmodeled fast dynamics

Disciplines

Electrical and Computer Engineering

Cite this

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title = "Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics",

abstract = " In this article, the identification of a dynamical system with unmodeled fast dynamics using type-1 and type-2 fuzzy sets is considered. After presenting a singular perturbation representation of the dynamical system, type-1 and type-2 fuzzy identification models of the system are derived. The flexibility of a type-2 fuzzy model in terms of adjusting to the new dynamics is presented. The identification results for both models and the advantages of using type-2 fuzzy identification are also discussed.",

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author = "Dongming Wang and Levent Acar",

year = "1999",

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T1 - Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics

AU - Wang, Dongming

AU - Acar, Levent

PY - 1999/11/1

Y1 - 1999/11/1

N2 - In this article, the identification of a dynamical system with unmodeled fast dynamics using type-1 and type-2 fuzzy sets is considered. After presenting a singular perturbation representation of the dynamical system, type-1 and type-2 fuzzy identification models of the system are derived. The flexibility of a type-2 fuzzy model in terms of adjusting to the new dynamics is presented. The identification results for both models and the advantages of using type-2 fuzzy identification are also discussed.

AB - In this article, the identification of a dynamical system with unmodeled fast dynamics using type-1 and type-2 fuzzy sets is considered. After presenting a singular perturbation representation of the dynamical system, type-1 and type-2 fuzzy identification models of the system are derived. The flexibility of a type-2 fuzzy model in terms of adjusting to the new dynamics is presented. The identification results for both models and the advantages of using type-2 fuzzy identification are also discussed.

KW - Fuzzy sets

KW - Mathematical models

KW - Neural networks

KW - Perturbation techniques

KW - Unmodeled fast dynamics

UR - https://scholarsmine.mst.edu/ele_comeng_facwork/495

M3 - Article

VL - 9

JO - Intelligent Engineering Systems Through Artificial Neural Networks

JF - Intelligent Engineering Systems Through Artificial Neural Networks

ER -

Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics

Abstract

Keywords

Disciplines

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