Ensemble approximations for constrained dynamical systems using Liouville equation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00366128" target="_blank" >RIV/68407700:21230/23:00366128 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1016/j.automatica.2022.110836" target="_blank" >https://doi.org/10.1016/j.automatica.2022.110836</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.automatica.2022.110836" target="_blank" >10.1016/j.automatica.2022.110836</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Ensemble approximations for constrained dynamical systems using Liouville equation
Popis výsledku v původním jazyce
For a class of state-constrained dynamical systems described by evolution variational inequalities, we study the time evolution of a probability measure which describes the distribution of the state over a set. In contrast to smooth ordinary differential equations, where the evolution of this probability measure is described by the Liouville equations, the flow map associated with the nonsmooth differential inclusion is not necessarily invertible and one cannot directly derive a continuity equation to describe the evolution of the distribution of states. Instead, we consider Lipschitz approximation of our original nonsmooth system and construct a sequence of measures obtained from Liouville equations corresponding to these approximations. This sequence of measures converges in weak -star topology to the measure describing the evolution of the distribution of states for the original nonsmooth system. This allows us to approximate numerically the evolution of moments (up to some finite order) for our original nonsmooth system, using a solver that uses finite order moment approximations of the Liouville equation. Our approach is illustrated with the help of two academic examples. (c) 2023 Elsevier Ltd. All rights reserved.
Název v anglickém jazyce
Ensemble approximations for constrained dynamical systems using Liouville equation
Popis výsledku anglicky
For a class of state-constrained dynamical systems described by evolution variational inequalities, we study the time evolution of a probability measure which describes the distribution of the state over a set. In contrast to smooth ordinary differential equations, where the evolution of this probability measure is described by the Liouville equations, the flow map associated with the nonsmooth differential inclusion is not necessarily invertible and one cannot directly derive a continuity equation to describe the evolution of the distribution of states. Instead, we consider Lipschitz approximation of our original nonsmooth system and construct a sequence of measures obtained from Liouville equations corresponding to these approximations. This sequence of measures converges in weak -star topology to the measure describing the evolution of the distribution of states for the original nonsmooth system. This allows us to approximate numerically the evolution of moments (up to some finite order) for our original nonsmooth system, using a solver that uses finite order moment approximations of the Liouville equation. Our approach is illustrated with the help of two academic examples. (c) 2023 Elsevier Ltd. All rights reserved.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20205 - Automation and control systems
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Automatica
ISSN
0005-1098
e-ISSN
1873-2836
Svazek periodika
149
Číslo periodika v rámci svazku
March
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
13
Strana od-do
—
Kód UT WoS článku
000921598700001
EID výsledku v databázi Scopus
2-s2.0-85145654785