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|Title:||Optimization of adaptive fuzzy processor design|
|Authors:||Baturone, I.; Sánchez-Solano, Santiago; Barriga, Angel; Huertas-Díaz, J. L.|
|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.|
|Appears in Collections:||(IMS-CNM) Comunicaciones congresos|
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