Ponencia
Optimization of adaptive fuzzy processor design
Autor/es | Baturone Castillo, María Iluminada
Sánchez Solano, Santiago Barriga Barros, Ángel Huertas Díaz, José Luis |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1998 |
Fecha de depósito | 2017-03-28 |
Publicado en |
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Resumen | A fuzzy processor is programmed to provide anoptimum output for solving a given problem. It could theoretically solve any problem (from a static point of view) if it is an universal approximator. This paper addresses the ... A fuzzy processor is programmed to provide anoptimum output for solving a given problem. It could theoretically solve any problem (from a static point of view) if it is an universal approximator. This paper addresses the design of fuzzy processors aiming at a twofold objective: efficient adaptive approximation of different and even dynamically changing surfaces and hardware simplicity. Adequate programmable parameters and a fully-parallel architecture are selected. Mixed-signal blocks based on digitally programmed current mirrors are employed. Error-descent learning algorithms for tuning are discussed. Adaptive behavior is illustrated with an application to the on-line identification of a nonlinear plant. |
Cita | Baturone Castillo, M.I., Sánchez Solano, S., Barriga Barros, Á. y Huertas Díaz, J.L. (1998). Optimization of adaptive fuzzy processor design. En XIII Conference on Design of Circuits and Integrated Systems (DCIS’98), Madrid. |
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