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
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

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