Parameter estimation of dynamic fuzzy models from uncertain data streams

Daniel Leite, Walmir Caminhas, Andre Lemos, Reinaldo Palhares, Fernando Gomide

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

Modeling of time-varying dynamic systems in real time requires the use of streams of sensor data and incremental learning algorithms. This paper introduces an incremental fuzzy modeling approach based on uncertain data streams. By uncertain data we mean data originated from unreliable sensors, imprecise perception, or description of the value of a variable represented as a fuzzy interval. An online incremental learning algorithm is used to develop the antecedent part of functional fuzzy rules and the rule base that assembles the model. A recursive least squares-like algorithm updates the parameters of a discrete state-space representation of the fuzzy rule consequents. Data uncertainty is accounted for using specificity measures of the input data. An illustrative example concerning the Lorenz attractor is given.

Idioma originalInglés
Título de la publicación alojada2014 IEEE Conference on Norbert Wiener in the 21st Century
Subtítulo de la publicación alojadaDriving Technology's Future, 21CW 2014 - Incorporating the Proceedings of the 2014 North American Fuzzy Information Processing Society Conference, NAFIPS 2014, Conference Proceedings
EditoresMartin Gibbs
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781479945627
DOI
EstadoPublicada - 2014
Publicado de forma externa
Evento2014 IEEE Conference on Norbert Wiener in the 21st Century, 21CW 2014 - Boston, Estados Unidos
Duración: 24 jun. 201426 jun. 2014

Serie de la publicación

Nombre2014 IEEE Conference on Norbert Wiener in the 21st Century: Driving Technology's Future, 21CW 2014 - Incorporating the Proceedings of the 2014 North American Fuzzy Information Processing Society Conference, NAFIPS 2014, Conference Proceedings

Conferencia

Conferencia2014 IEEE Conference on Norbert Wiener in the 21st Century, 21CW 2014
País/TerritorioEstados Unidos
CiudadBoston
Período24/06/1426/06/14

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