The Models that Can Be Matched by Feedback

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F18%3A00328436" target="_blank" >RIV/68407700:21730/18:00328436 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-74718-7_23" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-74718-7_23</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-74718-7_23" target="_blank" >10.1007/978-3-319-74718-7_23</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Models that Can Be Matched by Feedback

Popis výsledku v původním jazyce

Model matching (or exact model matching) is a problem of great interest in systems theory and applications. It consists of compensating a given system so as to achieve a specified target transfer function matrix. For linear time-invariant systems and regular static state feedback compensation, the solution is well known. The non-regular case, when the number of external inputs does not match the number of control inputs, the problem has not been solved until recently. The solution is not entirely algorithmic and requires some kind of trial and error. That is why it may be of interest to be able to decide on solvability prior to determining a solution. This is made possible by an efficient parametrization of all target models that can be matched by feedback applied to the given system.

Název v anglickém jazyce

The Models that Can Be Matched by Feedback

Popis výsledku anglicky

Model matching (or exact model matching) is a problem of great interest in systems theory and applications. It consists of compensating a given system so as to achieve a specified target transfer function matrix. For linear time-invariant systems and regular static state feedback compensation, the solution is well known. The non-regular case, when the number of external inputs does not match the number of control inputs, the problem has not been solved until recently. The solution is not entirely algorithmic and requires some kind of trial and error. That is why it may be of interest to be able to decide on solvability prior to determining a solution. This is made possible by an efficient parametrization of all target models that can be matched by feedback applied to the given system.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TE01020197" target="_blank" >TE01020197: Centrum aplikované kybernetiky 3</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Computer Aided Systems Theory – EUROCAST 2017

ISBN

978-3-319-74717-0

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

6

Strana od-do

191-196

Název nakladatele

Springer International Publishing

Místo vydání

Cham

Místo konání akce

Las Palmas de Gran Canaria

Datum konání akce

19. 2. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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