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.
Recommended Citation
D. Wang and L. Acar, "Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics," Intelligent Engineering Systems Through Artificial Neural Networks, vol. 9, pp. 549 - 554, American Society of Mechanical Engineers (ASME), Nov 1999.
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.
Publication Date
01 Nov 1999
