A review on control strategies for compensation of hysteresis and creep on piezoelectric actuators based micro systems
DV Sabarianand, P Karthikeyan… - Mechanical Systems and …, 2020 - Elsevier
The piezoelectric actuators are widely used to realize high precise motion with fractional
force and torque in both linear and rotary joints of the micro-systems. The control system …
force and torque in both linear and rotary joints of the micro-systems. The control system …
Sampling methods for solving Bayesian model updating problems: A tutorial
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …
context of Bayesian model updating for engineering applications. Markov Chain Monte …
A review of damping models for structures with mechanical joints
AT Mathis, NN Balaji, RJ Kuether… - Applied …, 2020 - asmedigitalcollection.asme.org
In a standard design practice, it is often necessary to assemble engineered structures from
individually manufactured parts. Ideally, the assembled system should perform as if the …
individually manufactured parts. Ideally, the assembled system should perform as if the …
Adaptive parameter identification of Bouc-wen hysteresis model for a vibration system using magnetorheological elastomer
The Bouc–wen hysteresis model has been widely used to design systems using
magnetorheological (MR) materials. However, the model parameters cannot be perfectly …
magnetorheological (MR) materials. However, the model parameters cannot be perfectly …
Transitional Markov chain Monte Carlo: observations and improvements
Abstract The Transitional Markov chain Monte Carlo (TMCMC) method is a widely used
method for Bayesian updating and Bayesian model class selection. The method is based on …
method for Bayesian updating and Bayesian model class selection. The method is based on …
Identifying parameters of advanced soil models using an enhanced transitional Markov chain Monte Carlo method
YF Jin, ZY Yin, WH Zhou, S Horpibulsuk - Acta Geotechnica, 2019 - Springer
Parameter identification using Bayesian approach with Markov Chain Monte Carlo (MCMC)
has been verified only for certain conventional simple constitutive models up to now. This …
has been verified only for certain conventional simple constitutive models up to now. This …
Neuro-intelligent networks for Bouc–Wen hysteresis model for piezostage actuator
Piezoelectric stage has become promising actuator for wide applications of micro-/nano-
positioning systems represented mathematically with Bouc–Wen hysteresis model to …
positioning systems represented mathematically with Bouc–Wen hysteresis model to …
An efficient parameters identification method of normalized Bouc-Wen model for MR damper
H Zhu, X Rui, F Yang, W Zhu, M Wei - Journal of Sound and Vibration, 2019 - Elsevier
A normalized Bouc-Wen model is adopt in the modelling to describe the hysteresis of
magneto-rheological (MR) damper. An efficient parameters identification method of …
magneto-rheological (MR) damper. An efficient parameters identification method of …
A novel family of multiple springs models suitable for biaxial rate-independent hysteretic behavior
This paper presents a novel family of multiple springs models capable of reproducing the
nonlinear response typical of mechanical systems and materials having a biaxial kinematic …
nonlinear response typical of mechanical systems and materials having a biaxial kinematic …
Parameters identification of Bouc–Wen hysteresis model for piezoelectric actuators using hybrid adaptive differential evolution and Jaya algorithm
The nonlinearities hysteresis of the piezoelectric-PZT actuator can greatly degrade in
precise positioning applications. Therefore, modeling and identifying the hysteresis …
precise positioning applications. Therefore, modeling and identifying the hysteresis …