Detail publikace

Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function

HŮLKA, T. MATOUŠEK, R. LOZI, R.

Originální název

Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper deals with the design of an advanced objective function capable of proper evaluation of the solutions during the process of chaotic trajectory stabilisation into stable periodic motion by means of evolutionary metaheuristic optimization. The challenging problem of stabilisation of chaotic systems generates many unexpected difficulties. One of them is the evaluation of a sample stabilized run during optimization. Even more so, when the target state of the chaotic system is a stable cycle oscillating periodically between several target positions. In this study, a two-dimensional dynamical system, known as the Hénon map was used. The system is stabilized using Extended Time Delayed Auto Synchronization (ETDAS) method with Genetic Algorithm (GA) optimization. The solutions are evaluated by a permutation-selective objective function, which achieves significantly better results than conventional evaluation methods based on a common objective function.

Klíčová slova

Chaos control; Genetic Algorithm; Hénon map; ITAE; Objective function; Optimization; Stable periodic motion

Autoři

HŮLKA, T.; MATOUŠEK, R.; LOZI, R.

Vydáno

6. 10. 2022

Nakladatel

IEEE

Místo

Florence, Italy

ISBN

978-1-7281-7124-1

Kniha

2022 IEEE Workshop on Complexity in Engineering (COMPENG)

Edice

IEEE Xplore

Strany od

1

Strany do

5

Strany počet

5

URL

https://ieeexplore.ieee.org/document/9905436

BibTex

@inproceedings{BUT182798,
  author="HŮLKA, T. and MATOUŠEK, R. and LOZI, R.",
  title="Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function",
  booktitle="2022 IEEE Workshop on Complexity in Engineering (COMPENG)",
  year="2022",
  series="IEEE Xplore",
  pages="5",
  publisher="IEEE",
  address="Florence, Italy",
  doi="10.1109/COMPENG50184.2022.9905436",
  isbn="978-1-7281-7124-1",
  url="https://ieeexplore.ieee.org/document/9905436"
}