IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n3218213.html

Analysis of the Fractional‐Order Delay Differential Equations by the Numerical Method

Author

Listed:
  • Saadia Masood
  • Muhammad Naeem
  • Roman Ullah
  • Saima Mustafa
  • Abdul Bariq

Abstract

In this study, we implemented a new numerical method known as the Chebyshev Pseudospectral method for solving nonlinear delay differential equations having fractional order. The fractional derivative is defined in Caputo manner. The proposed method is simple, effective, and straightforward as compared to other numerical techniques. To check the validity and accuracy of the proposed method, some illustrative examples are solved by using the present scenario. The obtained results have confirmed the greater accuracy than the modified Laguerre wavelet method, the Chebyshev wavelet method, and the modified wavelet‐based algorithm. Moreover, based on the novelty and scientific importance, the present method can be extended to solve other nonlinear fractional‐order delay differential equations.

Suggested Citation

  • Saadia Masood & Muhammad Naeem & Roman Ullah & Saima Mustafa & Abdul Bariq, 2022. "Analysis of the Fractional‐Order Delay Differential Equations by the Numerical Method," Complexity, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:3218213
    DOI: 10.1155/2022/3218213
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/3218213
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/3218213?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Sachin Bhalekar & Varsha Daftardar-Gejji, 2011. "Antisynchronization of Nonidentical Fractional-Order Chaotic Systems Using Active Control," International Journal of Differential Equations, Hindawi, vol. 2011, pages 1-13, September.
    2. Zhen Wang, 2013. "A Numerical Method for Delayed Fractional-Order Differential Equations," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-7, May.
    3. Zhen Wang, 2013. "A Numerical Method for Delayed Fractional‐Order Differential Equations," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
    4. Noufe H. Aljahdaly & Ravi P. Agarwal & Rasool Shah & Thongchai Botmart, 2021. "Analysis of the Time Fractional-Order Coupled Burgers Equations with Non-Singular Kernel Operators," Mathematics, MDPI, vol. 9(18), pages 1-24, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jalal Hajishafieiha & Saeid Abbasbandy, 2022. "Numerical Approach for Solving the Fractional Pantograph Delay Differential Equations," Complexity, John Wiley & Sons, vol. 2022(1).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. V. G. Pimenov & A. S. Hendy, 2015. "Numerical Studies for Fractional Functional Differential Equations with Delay Based on BDF‐Type Shifted Chebyshev Approximations," Abstract and Applied Analysis, John Wiley & Sons, vol. 2015(1).
    2. Wang, Jing & Hu, Xiaohui & Wei, Yunliang & Wang, Zhen, 2019. "Sampled-data synchronization of semi-Markov jump complex dynamical networks subject to generalized dissipativity property," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 853-864.
    3. DAŞBAŞI, Bahatdin, 2020. "Stability analysis of the hiv model through incommensurate fractional-order nonlinear system," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    4. Lazebnik, Teddy, 2023. "Computational applications of extended SIR models: A review focused on airborne pandemics," Ecological Modelling, Elsevier, vol. 483(C).
    5. Chen, Zhong & Gou, QianQian, 2019. "Piecewise Picard iteration method for solving nonlinear fractional differential equation with proportional delays," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 465-478.
    6. Doaa Atta & Ahmed E. Abouelregal & Fahad Alsharari, 2022. "Thermoelastic Analysis of Functionally Graded Nanobeams via Fractional Heat Transfer Model with Nonlocal Kernels," Mathematics, MDPI, vol. 10(24), pages 1-24, December.
    7. Hu, Xiaohui & Xia, Jianwei & Wei, Yunliang & Meng, Bo & Shen, Hao, 2019. "Passivity-based state synchronization for semi-Markov jump coupled chaotic neural networks with randomly occurring time delays," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 32-41.
    8. Doungmo Goufo, Emile Franc, 2019. "On chaotic models with hidden attractors in fractional calculus above power law," Chaos, Solitons & Fractals, Elsevier, vol. 127(C), pages 24-30.
    9. Zhao, Jingjun & Jiang, Xingzhou & Xu, Yang, 2021. "Generalized Adams method for solving fractional delay differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 180(C), pages 401-419.
    10. Meshari Alesemi & Naveed Iqbal & Ahmed A. Hamoud, 2022. "The Analysis of Fractional‐Order Proportional Delay Physical Models via a Novel Transform," Complexity, John Wiley & Sons, vol. 2022(1).
    11. A. G. Radwan & K. Moaddy & I. Hashim, 2013. "Amplitude Modulation and Synchronization of Fractional‐Order Memristor‐Based Chua′s Circuit," Abstract and Applied Analysis, John Wiley & Sons, vol. 2013(1).
    12. Huang, Zhengguo & Xia, Jianwei & Wang, Jing & Wei, Yunliang & Wang, Zhen & Wang, Jian, 2019. "Mixed H∞/l2−l∞ state estimation for switched genetic regulatory networks subject to packet dropouts: A persistent dwell-time switching mechanism," Applied Mathematics and Computation, Elsevier, vol. 355(C), pages 198-212.
    13. Fernando Alcántara-López & Carlos Fuentes & Carlos Chávez & Jesús López-Estrada & Fernando Brambila-Paz, 2022. "Fractional Growth Model with Delay for Recurrent Outbreaks Applied to COVID-19 Data," Mathematics, MDPI, vol. 10(5), pages 1-18, March.
    14. Mohammed Kbiri Alaoui & Kamsing Nonlaopon & Ahmed M. Zidan & Adnan Khan & Rasool Shah, 2022. "Analytical Investigation of Fractional-Order Cahn–Hilliard and Gardner Equations Using Two Novel Techniques," Mathematics, MDPI, vol. 10(10), pages 1-19, May.
    15. Rabab Alyusof & Shams Alyusof & Naveed Iqbal & Mohammad Asif Arefin, 2022. "Novel Evaluation of the Fractional Acoustic Wave Model with the Exponential‐Decay Kernel," Complexity, John Wiley & Sons, vol. 2022(1).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:3218213. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.