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
Wang, D. D., & Acar, L. (1999). Type-2 Fuzzy Identification of a Dynamical System with Unmodeled Fast Dynamics. Intelligent Engineering Systems Through Artificial Neural Networks, 9, pp. 549-554. American Society of Mechanical Engineers.
Department(s)
Business and Information Technology
Second Department
Electrical and Computer Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Dec 1999