A review on computational intelligence for identification of nonlinear dynamical systems
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
A review on vibration control strategies using magnetorheological materials actuators: Application perspective
Magnetorheological (MR) materials are a group of smart materials used in new technologies
with controlled reliability. The development of these materials is expanding, starting from MR …
with controlled reliability. The development of these materials is expanding, starting from MR …
A novel parametric model for nonlinear hysteretic behaviours with strain-stiffening of magnetorheological gel composite
Magnetorheological (MR) gels are a new class of MR composite materials that can
effectively address the issue of particle agglomeration in MR fluids, enhancing the …
effectively address the issue of particle agglomeration in MR fluids, enhancing the …
An optimal NARX neural network identification model for a magnetorheological damper with force-distortion behavior
Q Liu, W Chen, H Hu, Q Zhu, Z Xie - Frontiers in Materials, 2020 - frontiersin.org
This paper presents an optimal NARX neural network identification model for a
magnetorheological (MR) damper with the force-distortion behavior. An intensive …
magnetorheological (MR) damper with the force-distortion behavior. An intensive …
Vibration analysis of shaft misalignment using machine learning approach under variable load conditions
AM Umbrajkaar, A Krishnamoorthy… - Shock and …, 2020 - Wiley Online Library
The Industry 4.0 revolution is insisting strongly for use of machine learning‐based processes
and condition monitoring. In this paper, emphasis is given on machine learning‐based …
and condition monitoring. In this paper, emphasis is given on machine learning‐based …
A state-of-the-art on smart materials actuators over the last decade: Control aspects for diverse applications
A comprehensive review of smart materials actuators is presented from control aspects for
various applications. The smart materials actuators considered in this work are actively …
various applications. The smart materials actuators considered in this work are actively …
The dynamic models, control strategies and applications for magnetorheological damping systems: a systematic review
Purpose The magnetorheological (MR) damping devices have attracted an increasing
amount of attention in the field of vibration control for their excellent performance of the …
amount of attention in the field of vibration control for their excellent performance of the …
An improved whale optimization algorithm based on different searching paths and perceptual disturbance
W Sun, J Wang, X Wei - Symmetry, 2018 - mdpi.com
Whale optimization algorithm (WOA) is a swarm intelligence optimization algorithm inspired
by humpback whale hunting behavior. WOA has many similarities with other swarm …
by humpback whale hunting behavior. WOA has many similarities with other swarm …
Forecasting outpatient visits using empirical mode decomposition coupled with back-propagation artificial neural networks optimized by particle swarm optimization
D Huang, Z Wu - PloS one, 2017 - journals.plos.org
Accurately predicting the trend of outpatient visits by mathematical modeling can help policy
makers manage hospitals effectively, reasonably organize schedules for human resources …
makers manage hospitals effectively, reasonably organize schedules for human resources …
[HTML][HTML] Development of a field dependent Prandtl-Ishlinskii model for magnetorheological elastomers
Magnetorheological elastomers (MREs) offer real-time controllable stiffness and damping
properties, and strong hysteresis in the stress-strain responses that depends on magnetic …
properties, and strong hysteresis in the stress-strain responses that depends on magnetic …