On Ikeda-Based Memristor Map with Commensurate and Incommensurate Fractional Orders: Bifurcation, Chaos, and Entropy

Author:

Alsayyed Omar1ORCID,Abbes Abderrahmane2,Gharib Gharib Mousa3,Abualhomos Mayada4,Al-Tarawneh Hassan5,Al Soudi Maha S.6,Abu-Alkishik Nabeela7,Al-Husban Abdallah8,Ouannas Adel9

Affiliation:

1. Department of Mathematics, Faculty of Science, The Hashemite University, P.O. Box 330127, Zarqa 13133, Jordan

2. Laboratory of Mathematics, Dynamics and Modelization, Badji Mokhtar-Annaba University, Annaba 23000, Algeria

3. Department of Mathematics, Faculty of Science, Zarqa University, Zarqa 13110, Jordan

4. Applied Science Research Center (ASRC), Applied Science Private University, Amman 11942, Jordan

5. Department of Data Sciences and Artificial Intelligence, Al-Ahliyya Amman University, Amman 11942, Jordan

6. Department of Basic Scientific Sciences, Applied Science Private University, Amman 11931, Jordan

7. Department of Mathematics, Jerash University, Jerash 26150, Jordan

8. Department of Mathematics, Faculty of Science and Technology, Irbid National University, P.O. Box 2600, Irbid 21110, Jordan

9. Department of Mathematics and Computer Science, University of Larbi Ben M’hidi, Oum El Bouaghi 04000, Algeria

Abstract

This paper introduces a novel fractional Ikeda-based memristor map and investigates its non-linear dynamics under commensurate and incommensurate orders using various numerical techniques, including Lyapunov exponent analysis, phase portraits, and bifurcation diagrams. The results reveal diverse and complex system behaviors arising from the interplay of different fractional orders in the proposed map. Furthermore, the study employs the sample entropy test to quantify complexity and validate the presence of chaos. Non-linear controllers are also presented to stabilize and synchronize the model. The research emphasizes the system’s sensitivity to the fractional order parameters, leading to distinct dynamic patterns and stability regimes. The memristor-based chaotic map exhibits rich and intricate behavior, making it an interesting and important area of research.

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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