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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3599
Title: Optimization of adaptive fuzzy processor design
Authors: Baturone, I.; Sánchez-Solano, Santiago; Barriga, Angel; Huertas-Díaz, J. L.
Keywords: Fuzzy processors
Adaptive approximation
Architecture design
Issue Date: Nov-1998
Citation: XIII Conference on Design of Circuits and Integrated Systems (DCIS’98), pp. 316-321, Madrid, November 17-20, 1998.
Abstract: 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.
URI: http://hdl.handle.net/10261/3599
Appears in Collections:(IMS-CNM) Comunicaciones congresos
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