Formal validation of fuzzy control techniques. Perspectives.

Sala, Antonio, and Albertos, Pedro. "Formal validation of fuzzy control techniques. Perspectives.." Mathware and Soft Computing 6.2-3 (1999): 305-317. <http://eudml.org/doc/39165>.

@article{Sala1999,
abstract = {In this paper, a survey of the state of the art and perspectives of two main lines of research in fuzzy control systems is presented: on one hand, the navas interpolative-functional line representing fuzzy systems as parameterized universal function approximators, thus applying nonlinear control and neural network paradigms; on the other hand, a logic-formal approach where fuzzy systems are analysed in terms of logic interpretations, exploring validation, consistency and completeness, uncertainty management and knowledge supervision. The former approach is not widely used in the control field, and asserting its possibilities is one of the main motivations of this paper. References in both lines and some abridged results in the second case are cited, in particular some of the author's contributions, to which the interested reader is referred.},
author = {Sala, Antonio, Albertos, Pedro},
journal = {Mathware and Soft Computing},
keywords = {Control difuso; Lógica difusa; Inteligencia artificial},
language = {eng},
number = {2-3},
pages = {305-317},
title = {Formal validation of fuzzy control techniques. Perspectives.},
url = {http://eudml.org/doc/39165},
volume = {6},
year = {1999},
}

TY - JOUR
AU - Sala, Antonio
AU - Albertos, Pedro
TI - Formal validation of fuzzy control techniques. Perspectives.
JO - Mathware and Soft Computing
PY - 1999
VL - 6
IS - 2-3
SP - 305
EP - 317
AB - In this paper, a survey of the state of the art and perspectives of two main lines of research in fuzzy control systems is presented: on one hand, the navas interpolative-functional line representing fuzzy systems as parameterized universal function approximators, thus applying nonlinear control and neural network paradigms; on the other hand, a logic-formal approach where fuzzy systems are analysed in terms of logic interpretations, exploring validation, consistency and completeness, uncertainty management and knowledge supervision. The former approach is not widely used in the control field, and asserting its possibilities is one of the main motivations of this paper. References in both lines and some abridged results in the second case are cited, in particular some of the author's contributions, to which the interested reader is referred.
LA - eng
KW - Control difuso; Lógica difusa; Inteligencia artificial
UR - http://eudml.org/doc/39165
ER -