A novel adaptive order/parameter identification method for variable order systems application in viscoelastic soft tissue modeling. (September 2017)

• Record Type: Journal Article
• Authors: Tabatabaei, S. Sepehr; Talebi, H.A.; Tavakoli, M.
• Is Part Of: Chaos, solitons and fractals. Volume 102(2017)
• Page Start: 447
• Page End: 455
• Publication Date: 2017-09
• Subjects: Adaptive identification -- Order identification -- Parameter estimation -- Variable order systems -- Soft tissue modeling; Chaotic behavior in systems -- Periodicals; Solitons -- Periodicals; Fractals -- Periodicals; Chaotic behavior in systems; Fractals; Solitons; Periodicals; 003.7
• DOI: 10.1016/j.chaos.2017.04.005
• Languages: English
• ISSNs: 0960-0779

Abstract

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.