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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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A New Kernel-Based Approach for NonlinearSystem Identification

IEEE transactions on automatic control, 2011-12, Vol.56 (12), p.2825-2840

2011

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A fast nonlinear model identification method

IEEE transactions on automatic control, 2005-08, Vol.50 (8), p.1211-1216

2005

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Hammerstein system identification using nuclear norm minimization

Automatica (Oxford), 2012-09, Vol.48 (9), p.2189-2193

2012

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Dual time–frequency domain system identification

Automatica (Oxford), 2012-12, Vol.48 (12), p.3031-3041

2012

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Non-Parametric Nonlinear System Identification: An Asymptotic Minimum Mean Squared Error Estimator

IEEE transactions on automatic control, 2010-07, Vol.55 (7), p.1615-1626

BAI, Er-Wei

2010

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Spectral-approximation-based intelligent modeling for distributed thermal processes

IEEE transactions on control systems technology, 2005-09, Vol.13 (5), p.686-700

2005

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Blind system identification using precise and quantized observations

Automatica (Oxford), 2013-09, Vol.49 (9), p.2822-2830

2013

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Nonlinear system identification using coevolution of models and tests

IEEE transactions on evolutionary computation, 2005-08, Vol.9 (4), p.361-384

2005

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Control of Irrigation Channels

IEEE transactions on control systems technology, 2008-07, Vol.16 (4), p.664-675

Weyer, E.

2008

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A PNLMS Algorithm With Individual Activation Factors

IEEE transactions on signal processing, 2010-04, Vol.58 (4), p.2036-2047

2010

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Can errors-in-variables systems be identified from closed-loop experiments?

Automatica (Oxford), 2013-02, Vol.49 (2), p.681-684

2013

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Recursive Direct Weight Optimization in Nonlinear System Identification: A Minimal Probability Approach

IEEE transactions on automatic control, 2007-07, Vol.52 (7), p.1218-1231

2007

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On Nonparametric Identification of Wiener Systems

IEEE transactions on signal processing, 2007-02, Vol.55 (2), p.482-492

2007

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On the identification of hysteretic systems. Part II: Bayesian sensitivity analysis and parameter confidence

Mechanical systems and signal processing, 2012-05, Vol.29, p.213-227

2012

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Kernel methods in system identification, machine learning and function estimation: A survey

Automatica (Oxford), 2014-03, Vol.50 (3), p.657-682

2014

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Moment of Inertia Identification Using the Time Average of the Product of Torque Reference Input and Motor Position

IEEE transactions on power electronics, 2007-11, Vol.22 (6), p.2534-2542

Andoh, F.

2007

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Linear fractional order system identification using adjustable fractional order differentiator

IET signal processing, 2014-06, Vol.8 (4), p.398-409

2014

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System identification in a networked environment using second order statistical properties

Automatica (Oxford), 2013-02, Vol.49 (2), p.652-659

2013

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Identification of dynamic models in complex networks with prediction error methods—Basic methods for consistent module estimates

Automatica (Oxford), 2013-10, Vol.49 (10), p.2994-3006

2013

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On the accuracy in errors-in-variables identification compared to prediction-error identification

Automatica (Oxford), 2011-12, Vol.47 (12), p.2704-2712

2011

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Robust zero-point attraction least mean square algorithm on near sparse system identification

IET signal processing, 2013-05, Vol.7 (3), p.210-218

2013

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System identification of nonlinear state-space models

Automatica (Oxford), 2011-01, Vol.47 (1), p.39-49

2011

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Model term selection for spatio-temporal system identification using mutual information

International journal of systems science, 2013-02, Vol.44 (2), p.223-231

2013

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Identification and predictive control of a multistage evaporator

Control engineering practice, 2010-12, Vol.18 (12), p.1418-1428

2010

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A Bayesian approach to sparse dynamic network identification

A New Kernel-Based Approach for NonlinearSystem Identification

A fast nonlinear model identification method

Hammerstein system identification using nuclear norm minimization

Dual time–frequency domain system identification

Non-Parametric Nonlinear System Identification: An Asymptotic Minimum Mean Squared Error Estimator

Spectral-approximation-based intelligent modeling for distributed thermal processes

Blind system identification using precise and quantized observations

Nonlinear system identification using coevolution of models and tests

Control of Irrigation Channels

A PNLMS Algorithm With Individual Activation Factors

Can errors-in-variables systems be identified from closed-loop experiments?

Recursive Direct Weight Optimization in Nonlinear System Identification: A Minimal Probability Approach

On Nonparametric Identification of Wiener Systems

On the identification of hysteretic systems. Part II: Bayesian sensitivity analysis and parameter confidence

Kernel methods in system identification, machine learning and function estimation: A survey

Moment of Inertia Identification Using the Time Average of the Product of Torque Reference Input and Motor Position

Linear fractional order system identification using adjustable fractional order differentiator

System identification in a networked environment using second order statistical properties

Identification of dynamic models in complex networks with prediction error methods—Basic methods for consistent module estimates

On the accuracy in errors-in-variables identification compared to prediction-error identification

Robust zero-point attraction least mean square algorithm on near sparse system identification

System identification of nonlinear state-space models

Model term selection for spatio-temporal system identification using mutual information

Identification and predictive control of a multistage evaporator

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