IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v114y2018icp186-192.html
   My bibliography  Save this article

Implicit and fractional-derivative operators in infinite networks of integer-order components

Author

Listed:
  • Sen, Mihir
  • Hollkamp, John P.
  • Semperlotti, Fabio
  • Goodwine, Bill

Abstract

Complex engineering systems may be considered to be composed of a large number of simple components connected to each other in the form of a network. It is shown that, for some network configurations, the equivalent dynamic behavior of the system is governed by an implicit integro-differential operator even though the individual components themselves satisfy equations of integer order. The networks considered here are large trees and ladders with potential-driven flows and integer-order components in the branches. It has been known that in special cases the equivalent operator for the overall system in the time domain is a fractional-order derivative. In general, however, the operator is implicit without a known time-domain representation such as a fractional derivative would have, and can only be defined as a solution to an operator equation. These implicit operators, which are a generalization of commonly known fractional-order derivatives, should play an important role in the analysis and modeling of complex systems. This paper illustrates the manner in which they naturally arise in the modeling of integer-order networked systems.

Suggested Citation

  • Sen, Mihir & Hollkamp, John P. & Semperlotti, Fabio & Goodwine, Bill, 2018. "Implicit and fractional-derivative operators in infinite networks of integer-order components," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 186-192.
  • Handle: RePEc:eee:chsofr:v:114:y:2018:i:c:p:186-192
    DOI: 10.1016/j.chaos.2018.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077918305368
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2018.07.003?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Kin M. Li & Mihir Sen & Arturo Pacheco-Vega, 2018. "Fractional-Derivative Approximation of Relaxation in Complex Systems," Complexity, Hindawi, vol. 2018, pages 1-12, November.

    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:eee:chsofr:v:114:y:2018:i:c:p:186-192. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.