Considerations Related to Interpolation of Experimental Data Using Piecewise Functions

Journal Title: Robotica & Management - Year 2016, Vol 21, Issue 2

Abstract

The paper presents a method for experimental data interpolation by means of a piecewise function, the points where the form of the function changes being found simultaneously with the other parameters utilized in an optimization criterion. The optimization process is based on defining the interpolation function using a single expression founded on the Heaviside function and regarding the optimization function as a generalised infinitely derivable function. The exemplification of the methodology is made via a tangible example.

Authors and Affiliations

Stelian Alaci, Florina Carmen Ciornei

Keywords

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  • EP ID EP269161
  • DOI -
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How To Cite

Stelian Alaci, Florina Carmen Ciornei (2016). Considerations Related to Interpolation of Experimental Data Using Piecewise Functions. Robotica & Management, 21(2), 4-9. https://europub.co.uk/articles/-A-269161