Formal Validation of Fuzzy Control Techniques. Perspectives

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 \emph{interpolative-functional line} representing fuzzy systems as parameterized universal function approximators, thus applying nonlinear control an...

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Detalles Bibliográficos
Autores: Sala Piqueras, Antonio, Albertos Pérez, Pedro
Tipo de recurso: artículo
Fecha de publicación:1999
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/3561
Acceso en línea:https://hdl.handle.net/2099/3561
Access Level:acceso abierto
Palabra clave:Fuzzy control
Expert control
Fuzzy logic
Validation
Sistemes de control
Control automàtic -- Processament de dades
Classificació AMS::93 Systems Theory
Control::93C Control systems, guided systems
Descripción
Sumario: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 \emph{interpolative-functional line} representing fuzzy systems as parameterized universal function approximators, thus applying nonlinear control and neural network paradigms; on the other hand, a \emph{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.