| Title: | Controller fixed-point optimization with genetic algorithms |
| Authors: | Wolfram, Heiko |
| Citation: | 2015 International Conference on Applied Electronics: Pilsen, 8th – 9th September 2015, Czech Republic, p.279-284. |
| Issue Date: | 2015 |
| Publisher: | Západočeská univerzita v Plzni |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/35139 |
| ISBN: | 978-80-261-0385-1 (Print) 978-80-261-0386-8 (Online) |
| ISSN: | 1803-7232 (Print) 1805-9597 (Online) |
| Keywords: | optimalizace;kvantizace;signál;hluk;zpracování digitálních signálů;algoritmy zpracování signálu;programovatelné hradlové pole;regulátory |
| Keywords in different language: | optimization;quantization;signal;noise;digital signal processing;signal processing algorithms;field programmable gate arrays;regulators |
| Abstract in different language: | 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. |
| Rights: | © University of West Bohemia |
| Appears in Collections: | Applied Electronics 2015 Applied Electronics 2015 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wolfram.pdf | Plný text | 293,35 kB | Adobe PDF | View/Open |
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