HARDWARE SOLUTIONS FOR FUZZY CONTROL

被引：51

作者：

COSTA, A

DEGLORIA, A

FARABOSCHI, P

PAGNI, A

RIZZOTTO, G

机构：

[1] SGS THOMSON MICROELECTR, INFORMAT TECHNOL GRP, I-20041 AGRATE BRIANZA, ITALY

[2] SGS THOMSON MICROELECTR, CORP ADV SYST ARCHITECTURES GRP, I-20041 AGRATE BRIANZA, ITALY

来源：

PROCEEDINGS OF THE IEEE | 1995年 / 83卷 / 03期

关键词：

D O I：

10.1109/5.364488

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A large fraction of software designs using microcontrollers is today adopting fuzzy logic algorithms and this fraction is likely to increase in the future. Hardware implementation of fuzzy logic ranges from standard microprocessors to dedicated ASIC's and each different approach is targeted to a different application domain or market area. In this paper, we present an overview of the computational complexity of the fuzzy inference process and the various techniques adopted for fuzzy control tasks, highlighting the tradeoffs that can guide a system designer toward correct choices according to application features and cost/performance issues. In addition, we detail three case studies of architectures that address three different market segments in the fuzzy hardware scenario: dedicated fuzzy coprocessors, RISC processors with specialized fuzzy support and application specific fuzzy ASIC's.

引用

页码：422 / 434

页数：13

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