A novel adaptive order/parameter identification method for variable order systems application in viscoelastic soft tissue modeling

S. Sepehr Tabatabaei, H.A. Talebi and M. Tavakoli

Chaos, Solitons & Fractals, 2017, vol. 102, issue C, 447-455

Abstract: This paper presents an adaptive system identification approach to identify the order and parameters of a specific type of variable order systems, which, as a motivating example, describes the stress-strain relation of viscoelastic materials. First, the concept of non-integer order modeling will be introduced. Next, the proposed order/parameter identification approach will be presented. Afterwards, a simulation study is performed to validate the identification approach. Finally, the method will be applied on real data gathered from an experimental study for further validation.

Keywords: Adaptive identification; Order identification; Parameter estimation; Variable order systems; Soft tissue modeling (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:102:y:2017:i:c:p:447-455

DOI: 10.1016/j.chaos.2017.04.005

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