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.

Meeting Name

Artificial Neural Networks in Engineering Conference, ANNIE '99 (1999: Nov. 7-10, St. Louis, MO)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Fuzzy sets; Mathematical models; Perturbation techniques; Unmodeled fast dynamics; Neural networks

International Standard Book Number (ISBN)

978-0791800980

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1999 American Society of Mechanical Engineers (ASME), All rights reserved.

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