Alireza FAKHRIZADEH ESFAHANI
Alireza FAKHRIZADEH ESFAHANI
Email verificata su vub.ac.be - Home page
Titolo
Citata da
Citata da
Anno
A nonlinear state-space approach to hysteresis identification
JP NoŽl, AF Esfahani, G Kerschen, J Schoukens
Mechanical Systems and Signal Processing 84, 171-184, 2017
432017
Parameter reduction in nonlinear state-space identification of hysteresis
AF Esfahani, P Dreesen, K Tiels, JP NoŽl, J Schoukens
Mechanical Systems and Signal Processing 104, 884-895, 2018
202018
Novel online re-calibration method for multi-axis force/torque sensor of ITER welding/machining robot
H Roozbahani, A Fakhrizadeh, H Haario, H Handroos
IEEE Sensors Journal 13 (11), 4432-4443, 2013
202013
Using the best linear approximation with varying excitation signals for nonlinear system characterization
AF Esfahani, J Schoukens, L Vanbeylen
IEEE Transactions on Instrumentation and Measurement 65 (5), 1271-1280, 2016
122016
Polynomial state-space model decoupling for the identification of hysteretic systems
AF Esfahani, P Dreesen, K Tiels, JP NoŽl, J Schoukens
IFAC-PapersOnLine 50 (1), 458-463, 2017
62017
Hysteresis identification using nonlinear state-space models
JP NoŽl, AF Esfahani, G Kerschen, J Schoukens
Nonlinear Dynamics, Volume 1, 323-338, 2016
52016
Improved PAC-Bayesian Bounds for Linear Regression.
V Shalaeva, AF Esfahani, P Germain, M Petreczky
AAAI, 5660-5667, 2020
32020
Decoupling nonlinear state-space models: case studies
P Dreesen, AF Esfahani, J Stoev, K Tiels, J Schoukens
Proceedings of the International Conference on Noise and Vibration†…, 2016
32016
Challenges in the identification of discrete time block oriented models for continuous time nonlinear systems
J Schoukens, M Vaes, AF Esfahani, R Relan
IFAC-PapersOnLine 48 (28), 596-601, 2015
32015
Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation
AF Esfahani, J Schoukens, L Vanbeylen
2015 IEEE International Instrumentation and Measurement Technology†…, 2015
22015
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization
A Fakhrizadeh Esfahani, J Schoukens, L Vanbeylen
arXiv, arXiv: 1805.04575, 2018
2018
Using a polynomial decoupling algorithm for state-space identification of a Bouc-Wen system
A Esfahani, P Dreesen, K Tiels, JP NoŽl, J Schoukens
2016
A nonlinear state-space solution to a hysteretic benchmark in system identification
JP NoŽl, A Esfahani, G Kerschen, J Schoukens
2016
Novel methods of chaos detection of active magnetic bearing (AMB) system by signal analysis
AF Esfahani, RP Jastrzebski, T Kauranne, H Haario, O PyrhŲnen
2013 15th European Conference on Power Electronics and Applications (EPE), 1-9, 2013
2013
Chaotic Behaviour of Active Magnetic Bearing System by Time Series Analysis
AF Esfahani
2012
2.1. 15 Using the best linear approximation with varying excitation signals for nonlinear system characterization
AF Esfahani, J Schoukens, L Vanbeylen
Design of experiment approach for optimizing the characteristics of the excitation signal for discriminating the internal structure
AF Esfahani, J Schoukens, L Vanbeylen
Il sistema al momento non puÚ eseguire l'operazione. Riprova piý tardi.
Articoli 1–17