UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

The generalized cross validation filter

Automatica (Oxford), 2018-04, Vol.90, p.130-137

2018

Volltextzugriff (PDF)

Modeling Complex Systems by Generalized Factor Analysis

IEEE transactions on automatic control, 2015-03, Vol.60 (3), p.759-774

2015

Volltextzugriff (PDF)

A new kernel-based approach to system identification with quantized output data

Automatica (Oxford), 2017-11, Vol.85, p.145-152

2017

Volltextzugriff (PDF)

An empirical Bayes approach to identification of modules in dynamic networks

Automatica (Oxford), 2018-05, Vol.91, p.144-151

2018

Volltextzugriff (PDF)

A nonparametric kernel-based approach to Hammerstein system identification

Automatica (Oxford), 2017-11, Vol.85, p.234-247

2017

Volltextzugriff (PDF)

Learning linear modules in a dynamic network using regularized kernel-based methods

Automatica (Oxford), 2021-07, Vol.129, p.109591, Article 109591

2021

Volltextzugriff (PDF)

Modeling and identification of uncertain-input systems

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

2019

Volltextzugriff (PDF)

Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach

IEEE transactions on automatic control, 2020-07, Vol.65 (7), p.2801-2813

2020

Volltextzugriff (PDF)

Boosting as a kernel-based method

Machine learning, 2019-11, Vol.108 (11), p.1951-1974

2019

Volltextzugriff (PDF)

A two-experiment approach to Wiener system identification

Automatica (Oxford), 2018-07, Vol.93, p.282-289

2018

Volltextzugriff (PDF)

Robust EM kernel-based methods for linear system identification

Automatica (Oxford), 2016-05, Vol.67, p.114-126

2016

Volltextzugriff (PDF)

Preserving Privacy of Finite Impulse Response Systems

IEEE control systems letters, 2017-07, Vol.1 (1), p.128-133

2017

Volltextzugriff (PDF)

Variance analysis of linear SIMO models with spatially correlated noise

Automatica (Oxford), 2017-03, Vol.77, p.68-81

2017

Volltextzugriff (PDF)

Regularized Deconvolution-Based Approaches for Estimating Room Occupancies

IEEE transactions on automation science and engineering, 2015-10, Vol.12 (4), p.1157-1168

2015

Volltextzugriff (PDF)

On the Zero-Freeness of Tall Multirate Linear Systems

IEEE transactions on automatic control, 2016-11, Vol.61 (11), p.3606-3611

2016

Volltextzugriff (PDF)

On the identifiability of errors-in-variables models with white measurement errors

Automatica (Oxford), 2011-03, Vol.47 (3), p.545-551

2011

Volltextzugriff (PDF)

Real-time determination of optimal switching times for a H2 production process with CO2 capture using Gaussian Process Regression models

Computer Aided Chemical Engineering, 2019, Vol.46, p.1219-1224

2019

Volltextzugriff (PDF)

Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements⁎⁎This work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079, and by the European Research Council under the European Union’s Horizon 2020 grant agreement No. 694504

IFAC-PapersOnLine, 2018, Vol.51 (15), p.724-729

2018

Volltextzugriff (PDF)

Variational Bayes identification of acyclic dynamic networksThis work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079, and by the European Research Council under the advanced grants LEARN, contract 267381, and SYSIDNET, contract 694504

IFAC-PapersOnLine, 2017-07, Vol.50 (1), p.10556-10561

2017

Volltextzugriff (PDF)

Approximate inference of nonparametric Hammerstein modelsThis work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079, and by the European Research Council under the advanced grants LEARN, contract 267381, and SYSIDNET, contract 694504

IFAC-PapersOnLine, 2017-07, Vol.50 (1), p.8333-8338

2017

Volltextzugriff (PDF)

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

2018 IEEE Conference on Decision and Control (CDC), 2018, p.4713-4718

2018

Volltextzugriff (PDF)

Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements

IFAC-PapersOnLine, 2018, Vol.51 (15), p.724-729

2018

Volltextzugriff (PDF)

Bayesian topology identification of linear dynamic networks

2019 18th European Control Conference (ECC), 2019, p.2814-2819

2019

Volltextzugriff (PDF)

Variational Bayes identification of acyclic dynamic networks

IFAC-PapersOnLine, 2017-07, Vol.50 (1), p.10556-10561

2017

Volltextzugriff (PDF)

Approximate inference of nonparametric Hammerstein models

IFAC-PapersOnLine, 2017, Vol.50 (1), p.8333-8338

2017

Volltextzugriff (PDF)

1 – 25 von 54

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(16)
Mit Volltextzugriff
(44)

Publikationsform

Artikel
(29)
Tagungsberichte
(25)

Sprache

Englisch
(54)

Erscheinungsjahr

n.n

Thema

Science & Technology
(38)
Technology
(38)
Automation & Control Systems
(36)
Engineering
(23)
Engineering, Electrical & Electronic
(23)
System Identification
(18)
Linear Systems
(10)
Covariance Matrices
(9)
Kernel
(8)
Estimation
(7)
Mathematical Model
(6)
Splines
(6)
Vectors
(6)
Bayes Methods
(5)
Identification
(5)
Transfer Functions
(5)
Bayesian Methods
(4)
Biological System Modeling
(4)
Correlation
(4)
Dynamics
(4)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

The generalized cross validation filter

Modeling Complex Systems by Generalized Factor Analysis

A new kernel-based approach to system identification with quantized output data

An empirical Bayes approach to identification of modules in dynamic networks

A nonparametric kernel-based approach to Hammerstein system identification

Learning linear modules in a dynamic network using regularized kernel-based methods

Modeling and identification of uncertain-input systems

Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach

Boosting as a kernel-based method

A two-experiment approach to Wiener system identification

Robust EM kernel-based methods for linear system identification

Preserving Privacy of Finite Impulse Response Systems

Variance analysis of linear SIMO models with spatially correlated noise

Regularized Deconvolution-Based Approaches for Estimating Room Occupancies

On the Zero-Freeness of Tall Multirate Linear Systems

On the identifiability of errors-in-variables models with white measurement errors

Real-time determination of optimal switching times for a H2 production process with CO2 capture using Gaussian Process Regression models

Variational Bayes identification of acyclic dynamic networksThis work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079, and by the European Research Council under the advanced grants LEARN, contract 267381, and SYSIDNET, contract 694504

Approximate inference of nonparametric Hammerstein modelsThis work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079, and by the European Research Council under the advanced grants LEARN, contract 267381, and SYSIDNET, contract 694504

Local Module Identification in Dynamic Networks Using Regularized Kernel-Based Methods

Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements

Bayesian topology identification of linear dynamic networks

Variational Bayes identification of acyclic dynamic networks

Approximate inference of nonparametric Hammerstein models

Suchergebnisse filtern