Identification of Bouc–Wen hysteretic systems using particle swarm optimization
AE Charalampakis, CK Dimou - Computers & structures, 2010 - Elsevier
In this paper, two variants of the particle swarm optimization (PSO) algorithm are employed
for the identification of Bouc–Wen hysteretic systems. The first variant is simple while the …
for the identification of Bouc–Wen hysteretic systems. The first variant is simple while the …
Identification of Bouc-Wen hysteretic systems based on a joint optimization approach
M Lin, C Cheng, GZ Zhang, B Zhao, Z Peng… - Mechanical Systems and …, 2022 - Elsevier
Hysteresis phenomena are commonly encountered in structural systems. To describe
hysteresis behaviors, the Bouc-Wen model is intensively leveraged to reconstruct hysteresis …
hysteresis behaviors, the Bouc-Wen model is intensively leveraged to reconstruct hysteresis …
Identification of Bouc–Wen hysteretic systems by a hybrid evolutionary algorithm
AE Charalampakis, VK Koumousis - Journal of Sound and Vibration, 2008 - Elsevier
A new identification method that determines the parameters of Bouc–Wen hysteretic systems
is presented. It is based on a hybrid evolutionary algorithm which utilizes selected stochastic …
is presented. It is based on a hybrid evolutionary algorithm which utilizes selected stochastic …
Identification of Bouc–Wen type models using multi-objective optimization algorithms
Most of the published literature concerned with the parameter estimation of the Bouc–Wen
model of hysteresis via evolutionary algorithms uses a single objective function (the mean …
model of hysteresis via evolutionary algorithms uses a single objective function (the mean …
Parameter estimation of the Bouc–Wen hysteresis model using particle swarm optimization
M Ye, X Wang - Smart Materials and Structures, 2007 - iopscience.iop.org
Particle swarm optimization (PSO), which is a new robust stochastic evolutionary
computational algorithm based on the movement and intelligence of swarms, is proposed to …
computational algorithm based on the movement and intelligence of swarms, is proposed to …
Nonlinear hysteretic parameter identification using an improved tree-seed algorithm
The tree-seed algorithm (TSA) is a new type of heuristic algorithms based on the simulation
of trees propagation. It has been applied to solve continuous optimization problems …
of trees propagation. It has been applied to solve continuous optimization problems …
Genetic-algorithm-based strategies for dynamic identification of nonlinear systems with noise-corrupted response
The main objective of this paper is to investigate efficiency and correctness of different real-
coded genetic algorithms and identification criteria in nonlinear system identification within …
coded genetic algorithms and identification criteria in nonlinear system identification within …
Bayesian model identification through harmonic balance method for hysteresis prediction in bolted joints
Hysteresis is a nonlinear phenomenon present in many structures, such as those assembled
by bolted joints. Despite a large number of recent findings related to identification …
by bolted joints. Despite a large number of recent findings related to identification …
Parameter identification of Bouc-Wen model for MR fluid dampers using adaptive charged system search optimization
S Talatahari, A Kaveh, N Mohajer Rahbari - Journal of mechanical science …, 2012 - Springer
In this article, the charged system search (CSS) optimization method is improved to identify
the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable …
the parameters of a non-linear hysteretic Bouc-Wen differential model. The CSS is suitable …
Bouc–Wen hysteresis model identification using modified firefly algorithm
Abstract The parameters of Bouc–Wen hysteresis model are identified using a Modified
Firefly Algorithm. The proposed algorithm uses dynamic process control parameters to …
Firefly Algorithm. The proposed algorithm uses dynamic process control parameters to …