On the intrinsic relation of linear dynamical systems and higher order neural units

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F16%3A00300046" target="_blank" >RIV/68407700:21220/16:00300046 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-33389-2_23" target="_blank" >http://dx.doi.org/10.1007/978-3-319-33389-2_23</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-33389-2_23" target="_blank" >10.1007/978-3-319-33389-2_23</a>

Result language
angličtina
Original language name
On the intrinsic relation of linear dynamical systems and higher order neural units
Original language description
This paper summarizes the fundamental construction of higher-order-neural-units (HONU) as a class of polynomial function based neural units, which are though non-linear discrete time models, are linear in their parameters. From this a relation will be developed, ultimately leading to a new definition for analysing the global stability of a HONU, not only as a model itself, but further as a means of justifying the global dynamic stability of the whole control loop under HONU feedback control. This paper is organised to develop the fundamentals behind this intrinsic relation of linear dynamic systems and HONUs accompanied by a theoretical example to illustrate the functionality and principles of the concept
Czech name
—
Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Automation Control Theory Perspectives in Intelligent Systems
ISBN
978-3-319-33387-8
ISSN
2194-5357
e-ISSN
—
Number of pages
12
Pages from-to
235-246
Publisher name
Springer VDI Verlag
Place of publication
Düsseldorf
Event location
Prague
Event date
Apr 27, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385788100023

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