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A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems

Mechanical systems and signal processing, 2019-07, Vol.127, p.120-135

2019

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Bayesian Real-Time System Identification: From Centralized to Distributed Approach

1st Edition 2023, 2023

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Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint

Mechanical systems and signal processing, 2021-06, Vol.154, p.107528, Article 107528

2021

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Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics

Mechanical systems and signal processing, 2022-03, Vol.166, p.108401, Article 108401

2022

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Modeling and identification of uncertain-input systems

Automatica (Oxford), 2019-07, Vol.105, p.130-141

2019

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Identification of series–parallel systems composed of linear and nonlinear blocks

International journal of adaptive control and signal processing, 2023-08, Vol.37 (8), p.2021-2040

2023

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Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification

Mechanical systems and signal processing, 2022-03, Vol.166, p.108402, Article 108402

2022

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Dynamic model identification of unmanned surface vehicles using deep learning network

Applied ocean research, 2018-09, Vol.78, p.123-133

2018

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Experimental Identification of the Magnetic Model of Synchronous Machines

IEEE transactions on industry applications, 2013-09, Vol.49 (5), p.2116-2125

2013

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Multi-stage semi-automated methodology for modal parameters estimation adopting parametric system identification algorithms

Mechanical systems and signal processing, 2022-02, Vol.165, p.108317, Article 108317

2022

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Nonlinear dynamical system identification using the sparse regression and separable least squares methods

Journal of sound and vibration, 2021-08, Vol.505, p.116141, Article 116141

2021

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Wiener–Hammerstein nonlinear system identification using spectral analysis

International journal of robust and nonlinear control, 2022-07, Vol.32 (10), p.6184-6204

Brouri, Adil

2022

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Sparse structural system identification method for nonlinear dynamic systems with hysteresis/inelastic behavior

Mechanical systems and signal processing, 2019-02, Vol.117, p.813-842

2019

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Semi-Automated Operational Modal Analysis Methodology to Optimize Modal Parameter Estimation

Journal of optimization theory and applications, 2020-12, Vol.187 (3), p.842-854

2020

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Bayesian frequentist bounds for machine learning and system identification

Automatica (Oxford), 2022-12, Vol.146, p.110599, Article 110599

2022

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Hybrid output-only structural system identification using random decrement and Kalman filter

Mechanical systems and signal processing, 2020-10, Vol.144, p.106977, Article 106977

2020

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A Bayesian approach to sparse dynamic network identification

Automatica (Oxford), 2012-08, Vol.48 (8), p.1553-1565

2012

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Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification

IEEE transactions on fuzzy systems, 2020-09, Vol.28 (9), p.2209-2221

2020

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Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs

Computer methods in applied mechanics and engineering, 2020-12, Vol.372, p.113411, Article 113411

2020

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Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation

Mechanical systems and signal processing, 2021-01, Vol.146, p.106996, Article 106996

2021

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Initial results in power system identification from injected probing signals using a subspace method

IEEE transactions on power systems, 2006-08, Vol.21 (3), p.1296-1302

2006

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Parameter Estimation of Stochastic Fractional Dynamic Systems Using Nonlinear Bayesian Filtering System Identification Methods

Journal of engineering mechanics, 2024-02, Vol.150 (2)

2024

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Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach

IEEE transactions on automatic control, 2022-04, Vol.67 (4), p.2027-2032

2022

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Real-Time System Identification Using Deep Learning for Linear Processes With Application to Unmanned Aerial Vehicles

IEEE access, 2020, Vol.8, p.122539-122553

2020

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A Convex Parameterization of Robust Recurrent Neural Networks

IEEE control systems letters, 2021-10, Vol.5 (4), p.1363-1368

2021

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A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems

Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint

Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics

Modeling and identification of uncertain-input systems

Identification of series–parallel systems composed of linear and nonlinear blocks

Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data; Part II - Nonlinear system identification

Dynamic model identification of unmanned surface vehicles using deep learning network

Experimental Identification of the Magnetic Model of Synchronous Machines

Multi-stage semi-automated methodology for modal parameters estimation adopting parametric system identification algorithms

Nonlinear dynamical system identification using the sparse regression and separable least squares methods

Wiener–Hammerstein nonlinear system identification using spectral analysis

Sparse structural system identification method for nonlinear dynamic systems with hysteresis/inelastic behavior

Semi-Automated Operational Modal Analysis Methodology to Optimize Modal Parameter Estimation

Bayesian frequentist bounds for machine learning and system identification

Hybrid output-only structural system identification using random decrement and Kalman filter

A Bayesian approach to sparse dynamic network identification

Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification

Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs

Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation

Initial results in power system identification from injected probing signals using a subspace method

Parameter Estimation of Stochastic Fractional Dynamic Systems Using Nonlinear Bayesian Filtering System Identification Methods

Identification of Sparse Volterra Systems: An Almost Orthogonal Matching Pursuit Approach

Real-Time System Identification Using Deep Learning for Linear Processes With Application to Unmanned Aerial Vehicles

A Convex Parameterization of Robust Recurrent Neural Networks

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