Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty

EN Chatzi, AW Smyth, SF Masri - Structural Safety, 2010 - Elsevier
This study presents a methodology for the on-line identification of nonlinear hysteretic
systems where not only the parameters of the system are unknown but also the nature of the …

On-line identification of hysteretic systems

AG Chassiakos, SF Masri, AW Smyth, TK Caughey - 1998 - asmedigitalcollection.asme.org
Using adaptive estimation approaches, a method is presented for the on-line identification of
hysteretic systems under arbitrary dynamic environments. The availability of such an …

On-line parametric identification of MDOF nonlinear hysteretic systems

AW Smyth, SF Masri, AG Chassiakos… - Journal of engineering …, 1999 - ascelibrary.org
A method based on adaptive estimation approaches is presented for the on-line
identification of hysteretic systems under arbitrary dynamic environments. The availability of …

Development of adaptive modeling techniques for non-linear hysteretic systems

AW Smyth, SF Masri, EB Kosmatopoulos… - International journal of …, 2002 - Elsevier
Adaptive estimation procedures have gained significant attention by the research community
to perform real-time identification of non-linear hysteretic structural systems under arbitrary …

A nonlinear state-space approach to hysteresis identification

JP Noël, AF Esfahani, G Kerschen… - Mechanical Systems and …, 2017 - Elsevier
Most studies tackling hysteresis identification in the technical literature follow white-box
approaches, ie they rely on the assumption that measured data obey a specific hysteretic …

An extended model-based observer for state estimation in nonlinear hysteretic structural systems

M Roohi, K Erazo, D Rosowsky… - Mechanical Systems and …, 2021 - Elsevier
This paper proposes a model-based observer for state estimation in nonlinear hysteretic
structural systems. The observer combines a nonlinear model and response measurements …

Robust adaptive neural estimation of restoring forces in nonlinear structures

EB Kosmatopoulos, AW Smyth… - J. Appl …, 2001 - asmedigitalcollection.asme.org
The availability of methods for on-line estimation and identification of structures is crucial for
the monitoring and active control of time-varying nonlinear structural systems. Adaptive …

Parameter estimation and model selection for a class of hysteretic systems using Bayesian inference

K Worden, JJ Hensman - Mechanical Systems and Signal Processing, 2012 - Elsevier
The aim of this paper is to provide an overview of the possible advantages of adopting a
Bayesian approach to nonlinear system identification in structural dynamics. In contrast to …

Parameter identification of a differentiable Bouc-Wen model using constrained extended Kalman filter

D Li, Y Wang - Structural Health Monitoring, 2021 - journals.sagepub.com
Hysteresis is of critical importance to structural safety under severe dynamic loading
conditions. One of the widely used hysteretic models for civil structures is the Bouc-Wen …

Dynamical response identification of a class of nonlinear hysteretic systems

B Carboni, W Lacarbonara… - Journal of Intelligent …, 2018 - journals.sagepub.com
The experimental dynamical response of three types of nonlinear hysteretic systems is
identified employing phenomenological models togheter with the Differential Evolutionary …