Controller Fixed-Point Optimization with Genetic Algorithms

被引：0
|
作者：
Wolfram, Heiko [1 ]
机构：
[1] Wolfram Control Engn & Consulting, Gera, Germany
来源：
2015 INTERNATIONAL CONFERENCE ON APPLIED ELECTRONICS (AE) | 2015年
关键词：
Fixed-Point; Simulation; Quantization; Optimization; Genetic Algorithm; FPGA;
D O I：
暂无
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：
This work describes a way to optimize the controller fixed-point representation in programmable logic devices (eg. FPGA) with genetic algorithms. The optimization uses the error between floating-point and fixed-point representation as well as a quantization noise error model. Thus, both terms allow weighting between the to be expected theoretical and actually occurred simulation error. This task could be automated easily due to the script features of the simulation system.
引用
收藏
页码：279 / 283
页数：5
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