Analytical Derivation of Sharp-Edge-of-Chaos Domain in a One-Dimensional Memristor Array
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
In this work, we present analytical derivation of Sharp-Edge-of-Chaos (SEOC) domain for one dimensional (1D) reaction-diffusion arrays where we assume 1-port coupling with periodic boundary conditions. We consider a general form for the complexity function of the uncoupled cell and following an iterative approach, we derive the analytical formula of the destabilization condition for the 1D reaction-diffusion array with n elements. The destabilization condition further gives the critical value of the coupling resistor element for the emergence of pattern formation across the array. In order to demonstrate the functionality of the analytical derivations, we examine the normalized version of the complexity function of a practical memristive cell, and investigate the evolution of the critical value of the coupling resistor of the 1D array with respect to the parameter values of the complexity function and to the array size. In this way, we reveal a time-efficient simulation method for the determination of the destabilization condition in 1D memristive reaction-diffusion arrays which can be adopted for arrays of higher dimensions as well as for n-port couplings in the future.
Details
Originalsprache | Englisch |
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Titel | 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023 - Proceedings |
Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
Seiten | 1133-1137 |
Seitenumfang | 5 |
ISBN (elektronisch) | 9798350300802 |
Publikationsstatus | Veröffentlicht - 2023 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) |
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Konferenz
Titel | 2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering |
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Kurztitel | MetroXRAINE 2023 |
Veranstaltungsnummer | 2 |
Dauer | 25 - 27 Oktober 2023 |
Webseite | |
Ort | FAST - Conference Center |
Stadt | Milano |
Land | Italien |
Externe IDs
ORCID | /0000-0001-7436-0103/work/172081487 |
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ORCID | /0000-0002-1236-1300/work/172082270 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- cellular nonlinear network, destabilization, edge-of-chaos, local activity, memristor array, pattern formation, reaction-diffusion, sharp-edge-of-chaos