WH-EA: An Evolutionary Algorithm for Wiener-Hammerstein System Identification by J. Zambrano, J. Sanchis, J. M. Herrero, M. Martínez

“…The performance of the proposed approach is analysed by using a demonstration example and a nonlinear system identification benchmark.…”
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Stress Measurement of Steel Strands Based on System Identification Method by Ji Qian, Jianbin Li, Changchun Li, Jianting Zhou, Guowen Yao

“…This work views the propagation of ultrasonic guided wave as an individual system, and the variations in the stress state in steel strands can be related to the parameters gained by the system identification model. The finite element simulation and experimental results show the propagation characteristics of the guided wave are influenced distinctly by the stress state. …”
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Adaptive identification of critical nodes for fault‐on voltage support in islanded microgrids by Shiran Cao, Lipeng Zhu, Jiayong Li, Wen Huang, Lili He, Wei Zhang, Huimin Zhao, Zhikang Shuai

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Double array system identification research based on LSTM neural network by Chunhua Gao, Mingyang Wang, Yifei Sima, Zihan Yuan

Subjects: “…system identification…”
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A System Identification-Based Damage-Detection Method for Gravity Dams by Masoud Mirtaheri, Mojtaba Salkhordeh, Masoud Mohammadgholiha

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A quantitative analysis of Koopman operator methods for system identification and predictions by Zhang, Christophe, Zuazua, Enrique

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Free-Decay Nonlinear System Identification via Mass-Change Scheme by Dario Anastasio, Stefano Marchesiello

“…Methods for nonlinear system identification of structures generally require input-output measured data to estimate the nonlinear model, as a consequence of the noninvariance of the FRFs in nonlinear systems. …”
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Validation of Two Nonlinear System Identification Techniques Using an Experimental Testbed by V. Lenaerts, G. Kerschen, J.-C. Golinval, M. Ruzzene, E. Giorcelli

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Exact Recovery for System Identification With More Corrupt Data Than Clean Data by Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Murat Arcak

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Application of System Identification for Modeling the Dynamic Behavior of Axial Flow Compressor Dynamics by Marco P. Schoen, Ji-Chao Lee

“…The results of the proposed system identification algorithm show that the assumed model structure for the system identification algorithm takes on an important role in defining the coupling characteristics. …”
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Neural network-based aeroelastic system identification for predicting flutter of high flexibility wings by Qing Guo, Xiaoqiang Li, Zhijie Zhou, Dexiao Ma, Yuzhuo Wang

“…The complexity of modeling aeroelasticity of high flexibility wings will be substantially simplified by investigating the prospect of system identification techniques to forecast flutter velocity. …”
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A New Subband Adaptive Filtering Algorithm for Sparse System Identification with Impulsive Noise by Young-Seok Choi

“…This paper presents a novel subband adaptive filter (SAF) for system identification where an impulse response is sparse and disturbed with an impulsive noise. …”
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ESTIMATION OF LONGITUDINAL CUMULATIVE FATIGUE DAMAGEOF WHEELSON CUSTOMER ROADS BASEDON SYSTEM IDENTIFICATION by MA ZhaGen, HU WenWei, WANG YiFan, ZHANG WuJie, WU MengQiao

“…To reduce thenumbers of measuring channels,prepare period and amount of data during the large-scale whole vehicle customer road load measurements,in this paper a method,based on system identification,was described to estimate the cumulative fatigue damage of whole vehicle and components with statistic results of only a few measuring channels. …”
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Influence of Excitation on Dynamic System Identification for a Multi-Span Reinforced Concrete Bridge by M. Alwash, B. F. Sparling, L. D. Wegner

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Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme by Lan Wang, Yu Cheng, Jinglu Hu, Jinling Liang, Abdullah M. Dobaie

“…Quasi-linear autoregressive with exogenous inputs (Quasi-ARX) models have received considerable attention for their usefulness in nonlinear system identification and control. In this paper, identification methods of quasi-ARX type models are reviewed and categorized in three main groups, and a two-step learning approach is proposed as an extension of the parameter-classified methods to identify the quasi-ARX radial basis function network (RBFN) model. …”
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Adaptive prescribed performance estimator for Hammerstein-like system identification based on quantized observations and its application by Huijie Lei, Yanwei Zhang, Xikun Lu

“…Unfortunately, in system identification communities, few papers on the transient performance of parameter identification are published because of difficulties in designing the error variable reflecting this performance. …”
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Research on industrial control system intrusion detection method based on simulation modelling by Yi-wei GAO, Rui-kang ZHOU, Ying-xu LAI, Ke-feng FAN, Xiang-zhen YAO, Lin LI

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The Identity Registration System, Identification Number and National ID Card During the Vichy Regime (France, 1940-1944) by Pierre Piazza

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Multidimensional System Identification and Active Vibration Control of a Piezoelectric-Based Sting System Used in Wind Tunnel by Yi Yu, Xing Shen, Yun Huang

“…In this paper, aiming at suppressing the vibration in pitch and yaw plane, a multidimensional system identification and active vibration control system on the basis of piezoelectric actuators is established. …”
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Tight computationally efficient approximation of matrix norms with applications by Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

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