Please use this identifier to cite or link to this item:
http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3599| Title: | Optimization of adaptive fuzzy processor design |
| Keywords: | Fuzzy processors Adaptive approximation Architecture design |
| Description: | 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. Peer reviewed |
| URI: | http://dspace.mediu.edu.my:8181/xmlui/handle/10261/3599 |
| Other Identifiers: | XIII Conference on Design of Circuits and Integrated Systems (DCIS’98), pp. 316-321, Madrid, November 17-20, 1998. http://hdl.handle.net/10261/3599 |
| Appears in Collections: | Digital Csic |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.