Title:	Sensors based on nonlinear dynamic systems – A survey
Authors:	Horia-Nicolai L., Teodorescu
Citation:	2017 International Conference on Applied Electronics: Pilsen, 5th – 6th September 2017, Czech Republic, p.1-10.
Issue Date:	2017
Publisher:	Západočeská univerzita v Plzni
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/35399
ISBN:	978–80–261–0641–8 (Print) 978–80–261–0642–5 (Online)
ISSN:	1803–7232 (Print) 1805–9597 (Online)
Keywords:	senzory;chaos;atraktor;dočasná fraktální dimenze;nervová síť;vodivost;umělá sítnice;rozlišení senzoru;přesnost senzoru
Keywords in different language:	sensors;chaos;alttractor features;temporal fractal dimension;neural network;conductivity;artificial retina;sensor resolution;sensor accuracy
Abstract in different language:	Nonlinear systems able to develop chaotic dynamics have a tremendous potential in a large class of applications, because of the complexity of the behavior they exhibit and of the sensitivity of their operation to the process parameters. While these properties have been seen as disadvantages, the increased technical capabilities of mastering the operation of these systems and of analyzing their behavior have recently set free their potential. We survey the literature of sensors based on nonlinear dynamic systems and add to these sensors analysis. Theoretical foundations of the dynamics characterization are introduced and several tools for employing these fundamentals to the design of sensors are presented. Examples of sensors previously reported are reviewed and design considerations exposed.
Rights:	© Západočeská univerzita v Plzni
Appears in Collections:	Applied Electronics 2017 Applied Electronics 2017

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