Publication detail
Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function
HŮLKA, T. MATOUŠEK, R. LOZI, R.
English title
Stabilization of Higher Periodic Orbits of Chaotic maps using Permutation-selective Objective Function
Type
conference paper
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Chaos control; Genetic Algorithm; Hénon map; ITAE; Objective function; Optimization; Stable periodic motion
Released
06.10.2022
Publisher
IEEE
Location
Florence, Italy
ISBN
978-1-7281-7124-1
Book
2022 IEEE Workshop on Complexity in Engineering (COMPENG)
Pages from–to
1–5
Pages count
5
BIBTEX
@inproceedings{BUT182798,
author="Tomáš {Hůlka} and Radomil {Matoušek},
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",
month="October",
pages="1--5",
publisher="IEEE",
address="Florence, Italy",
isbn="978-1-7281-7124-1"
}