Construction of Piecewise Chaotic Maps With Tunable Statistical Mean

Lazaros  Moysis; Marcin  Lawnik; Murilo Baptista; Sotirios  Goudos; Christos Volos

doi:10.1109/MOCAST57943.2023.10176612

Construction of Piecewise Chaotic Maps With Tunable Statistical Mean

Lazaros Moysis, Marcin Lawnik, Murilo Baptista, Sotirios Goudos, Christos Volos

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

2 Citations (Scopus)

Abstract

In numerous chaos based applications, it is often important to use chaotic maps that showcase desirable statistical characteristics, that can improve the performance of the designed architecture. Yet, it is hard to design maps that can achieve the desired statistical properties. Motivated by this, this work considers a family of piecewise chaotic maps, and studies how tuning their parameters can affect the mean value of the generated chaotic trajectories. Such a family of maps can be highly practical in future chaos based applications.

Original language	English
Title of host publication	12th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Publisher	IEEE Explore
Number of pages	4
DOIs	https://doi.org/10.1109/MOCAST57943.2023.10176612
Publication status	Published - 17 Jul 2023
Event	12th International Conference on Modern Circuits and Systems Technologies (MOCAST) - Athens, Greece Duration: 28 Jun 2023 → 30 Jun 2023 Conference number: 12th https://www.eledia.org/eledia-unitn/news/12th-international-conference-on-modern-circuits-and-systems-technologies-mocast-on-electronics-and-communications/

Conference

Conference	12th International Conference on Modern Circuits and Systems Technologies (MOCAST)
Country/Territory	Greece
City	Athens
Period	28/06/23 → 30/06/23
Internet address	https://www.eledia.org/eledia-unitn/news/12th-international-conference-on-modern-circuits-and-systems-technologies-mocast-on-electronics-and-communications/

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10.1109/MOCAST57943.2023.10176612Licence: Unspecified

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Moysis, L, Lawnik, M, Baptista, M, Goudos, S & Volos , C 2023, Construction of Piecewise Chaotic Maps With Tunable Statistical Mean. in 12th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE Explore, 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), Athens, Greece, 28/06/23. https://doi.org/10.1109/MOCAST57943.2023.10176612

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title = "Construction of Piecewise Chaotic Maps With Tunable Statistical Mean",

abstract = "In numerous chaos based applications, it is often important to use chaotic maps that showcase desirable statistical characteristics, that can improve the performance of the designed architecture. Yet, it is hard to design maps that can achieve the desired statistical properties. Motivated by this, this work considers a family of piecewise chaotic maps, and studies how tuning their parameters can affect the mean value of the generated chaotic trajectories. Such a family of maps can be highly practical in future chaos based applications.",

author = "Lazaros Moysis and Marcin Lawnik and Murilo Baptista and Sotirios Goudos and Christos Volos",

year = "2023",

month = jul,

day = "17",

doi = "10.1109/MOCAST57943.2023.10176612",

language = "English",

booktitle = "12th International Conference on Modern Circuits and Systems Technologies (MOCAST)",

publisher = "IEEE Explore",

note = "12th International Conference on Modern Circuits and Systems Technologies (MOCAST) ; Conference date: 28-06-2023 Through 30-06-2023",

url = "https://www.eledia.org/eledia-unitn/news/12th-international-conference-on-modern-circuits-and-systems-technologies-mocast-on-electronics-and-communications/",

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T1 - Construction of Piecewise Chaotic Maps With Tunable Statistical Mean

AU - Moysis, Lazaros

AU - Lawnik, Marcin

AU - Baptista, Murilo

AU - Goudos, Sotirios

AU - Volos , Christos

N1 - Conference code: 12th

PY - 2023/7/17

Y1 - 2023/7/17

N2 - In numerous chaos based applications, it is often important to use chaotic maps that showcase desirable statistical characteristics, that can improve the performance of the designed architecture. Yet, it is hard to design maps that can achieve the desired statistical properties. Motivated by this, this work considers a family of piecewise chaotic maps, and studies how tuning their parameters can affect the mean value of the generated chaotic trajectories. Such a family of maps can be highly practical in future chaos based applications.

AB - In numerous chaos based applications, it is often important to use chaotic maps that showcase desirable statistical characteristics, that can improve the performance of the designed architecture. Yet, it is hard to design maps that can achieve the desired statistical properties. Motivated by this, this work considers a family of piecewise chaotic maps, and studies how tuning their parameters can affect the mean value of the generated chaotic trajectories. Such a family of maps can be highly practical in future chaos based applications.

U2 - 10.1109/MOCAST57943.2023.10176612

DO - 10.1109/MOCAST57943.2023.10176612

M3 - Published conference contribution

BT - 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)

PB - IEEE Explore

T2 - 12th International Conference on Modern Circuits and Systems Technologies (MOCAST)

Y2 - 28 June 2023 through 30 June 2023

ER -

Construction of Piecewise Chaotic Maps With Tunable Statistical Mean

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