A simulink model for testing uncertainty in type-2 fuzzy controllers

Roberto Sepúlveda, Oscar Castillo, Patricia Melin, Antonio Rodríguez, Oscar Montiel

Research output: Contribution to conferencePaper

Abstract

Uncertainty is an inherent part in controllers for real world applications. The use of new methods for handling incomplete information is of fundamental importance in engineering applications. This paper deals with a simulink model for testing type-2 fuzzy logic controllers for minimizing the effects of uncertainty produced by instrumentation elements. We are proposing a model to deal with type-2 fuzzy logic controllers and we are showing a comparative analysis of the systems' response in the absence and presence of uncertainty.
Original languageAmerican English
Pages419-425
Number of pages376
StatePublished - 1 Dec 2005
EventProceedings of the 2005 International Conference on Artificial Intelligence, ICAI'05 -
Duration: 1 Dec 2005 → …

Conference

ConferenceProceedings of the 2005 International Conference on Artificial Intelligence, ICAI'05
Period1/12/05 → …

    Fingerprint

Cite this

Sepúlveda, R., Castillo, O., Melin, P., Rodríguez, A., & Montiel, O. (2005). A simulink model for testing uncertainty in type-2 fuzzy controllers. 419-425. Paper presented at Proceedings of the 2005 International Conference on Artificial Intelligence, ICAI'05, .