Detail publikace

Searching for chaos using stochastic optimization approach

Originální název

Searching for chaos using stochastic optimization approach

Anglický název

Searching for chaos using stochastic optimization approach

Jazyk

en

Originální abstrakt

It is well known that many real physical systems can be loosely described by a system of first-order differential equations. Considering the autonomous deterministic dynamical systems with at least three degrees of freedom, the so-called chaotic solution can be observed for some initial conditions and internal system parameters. One possible way how to distinguish the regions of chaos from the trivial fixed points, limit cycles or unbounded solution is suggested in this contribution.

Anglický abstrakt

It is well known that many real physical systems can be loosely described by a system of first-order differential equations. Considering the autonomous deterministic dynamical systems with at least three degrees of freedom, the so-called chaotic solution can be observed for some initial conditions and internal system parameters. One possible way how to distinguish the regions of chaos from the trivial fixed points, limit cycles or unbounded solution is suggested in this contribution.

BibTex


@inproceedings{BUT23316,
  author="Jiří {Petržela}",
  title="Searching for chaos using stochastic optimization approach",
  annote="It is well known that many real physical systems can be loosely described by a system of first-order differential equations. Considering the autonomous deterministic dynamical systems with at least three degrees of freedom, the so-called chaotic solution can be observed for some initial conditions and internal system parameters. One possible way how to distinguish the regions of chaos from the trivial fixed points, limit cycles or unbounded solution is suggested in this contribution.",
  address="FEKT VUT Brno",
  booktitle="Sborník příspěvků konference ZVŮLE 2007",
  chapter="23316",
  howpublished="print",
  institution="FEKT VUT Brno",
  year="2007",
  month="august",
  pages="142--145",
  publisher="FEKT VUT Brno",
  type="conference paper"
}