Adaptive parameter identification of Bouc-wen hysteresis model for a vibration system using magnetorheological elastomer

XB Nguyen, T Komatsuzaki, HT Truong - International Journal of …, 2022 - Elsevier
The Bouc–wen hysteresis model has been widely used to design systems using
magnetorheological (MR) materials. However, the model parameters cannot be perfectly …

The use of the adjoint method for solving typical optimization problems in multibody dynamics

K Nachbagauer… - Journal of …, 2015 - asmedigitalcollection.asme.org
The present paper illustrates the potential of the adjoint method for a wide range of
optimization problems in multibody dynamics such as inverse dynamics and parameter …

Parameter estimation of an electrochemistry-based lithium-ion battery model

R Masoudi, T Uchida, J McPhee - Journal of Power Sources, 2015 - Elsevier
Parameters for an electrochemistry-based Lithium-ion battery model are estimated using the
homotopy optimization approach. A high-fidelity model of the battery is presented based on …

A linear least squares approach for evaluation of crack tip stress field parameters using DIC

R Harilal, CP Vyasarayani, M Ramji - Optics and Lasers in Engineering, 2015 - Elsevier
In the present work, an experimental study is carried out to estimate the mixed-mode stress
intensity factors (SIF) for different cracked specimen configurations using digital image …

A time-domain system identification numerical procedure for obtaining linear dynamical models of multibody mechanical systems

CM Pappalardo, D Guida - Archive of Applied Mechanics, 2018 - Springer
This paper is focused on the development of a numerical procedure for solving the system
identification problem of linear dynamical models that mathematically describe multibody …

The discrete adjoint method for parameter identification in multibody system dynamics

T Lauß, S Oberpeilsteiner, W Steiner… - Multibody system …, 2018 - Springer
The adjoint method is an elegant approach for the computation of the gradient of a cost
function to identify a set of parameters. An additional set of differential equations has to be …

An algorithm for parameter identification of semi-empirical tire model

K Zhang, Y Zhang, P Xu - SAE International Journal of Vehicle Dynamics …, 2021 - sae.org
Vehicle tire performance is an important consideration for vehicle handling, stability,
mobility, and ride comfort, as well as durability. All forces exerted on the vehicle, except …

Blind parameter identification of implicit differential equations using the collocation discretization and homotopy optimization methods

A Zhakatayev, N Avazov, H Najjar… - … and Machine Theory, 2024 - Elsevier
In this paper, our objectives are to estimate the moments of inertia and reconstruct the inputs
of a two-link pendulum that models a human arm. A blind parameter identification routine to …

Parameter identification for multibody systems expressed in differential-algebraic form

T Uchida, CP Vyasarayani, M Smart… - Multibody system …, 2014 - Springer
The ability of a multibody dynamic model to accurately predict the response of a physical
system relies heavily on the use of appropriate system parameters in the mathematical …

Parameter identification of Bouc–Wen type hysteresis models using homotopy optimization

R Manikantan, T Ghosh Mondal… - … Based Design of …, 2022 - Taylor & Francis
Structural members exhibit hysteretic behavior under cyclic loading. Among the hysteresis
models available in the literature, the differential model proposed by Bouc-Wen is most …