UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 141

Sortiert nach

The role of vector autoregressive modeling in predictor-based subspace identification

Automatica (Oxford), 2007-06, Vol.43 (6), p.1034-1048

Chiuso, Alessandro

2007

Volltextzugriff (PDF)

A Bayesian approach to sparse dynamic network identification

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

2012

Volltextzugriff (PDF)

Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

Automatica (Oxford), 2015-08, Vol.58, p.106-117

2015

Volltextzugriff (PDF)

Distributed Kalman filtering based on consensus strategies

IEEE journal on selected areas in communications, 2008-05, Vol.26 (4), p.622-633

2008

Volltextzugriff (PDF)

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data

NeuroImage (Orlando, Fla.), 2020-03, Vol.208, p.116367-116367, Article 116367

2020

Volltextzugriff (PDF)

Macroscale coupling between structural and effective connectivity in the mouse brain

Scientific reports, 2024-02, Vol.14 (1), p.3142-3142, Article 3142

2024

Volltextzugriff (PDF)

Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor

Sensors (Basel, Switzerland), 2023-01, Vol.23 (1), p.262

2023

Volltextzugriff (PDF)

Regularized System Identification: Learning Dynamic Models from Data

1st Edition 2022, 2022

Volltextzugriff (PDF)

A New Kernel-Based Approach for NonlinearSystem Identification

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

2011

Volltextzugriff (PDF)

Controlling target brain regions by optimal selection of input nodes

PLoS computational biology, 2024-01, Vol.20 (1), p.e1011274-e1011274

2024

Volltextzugriff (PDF)

Maximum Entropy vector kernels for MIMO system identification

Automatica (Oxford), 2017-05, Vol.79, p.326-339

2017

Volltextzugriff (PDF)

Optimal Synchronization for Networks of Noisy Double Integrators

IEEE transactions on automatic control, 2011-05, Vol.56 (5), p.1146-1152

2011

Volltextzugriff (PDF)

Consistency analysis of some closed-loop subspace identification methods

Automatica (Oxford), 2005-03, Vol.41 (3), p.377-391

2005

Volltextzugriff (PDF)

Sparse plus low rank network identification: A nonparametric approach

Automatica (Oxford), 2017-02, Vol.76, p.355-366

2017

Volltextzugriff (PDF)

The harmonic analysis of kernel functions

Automatica (Oxford), 2018-08, Vol.94, p.125-137

2018

Volltextzugriff (PDF)

Control-oriented regularization for linear system identification

Automatica (Oxford), 2021-05, Vol.127, p.109539, Article 109539

2021

Volltextzugriff (PDF)

Linear system identification using the sequential stabilizing spline algorithm

Automatica (Oxford), 2022-04, Vol.138, p.110169, Article 110169

2022

Volltextzugriff (PDF)

Data-driven predictive control in a stochastic setting: a unified framework

Automatica (Oxford), 2023-06, Vol.152, p.110961, Article 110961

2023

Volltextzugriff (PDF)

Information fusion strategies and performance bounds in packet-drop networks

Automatica (Oxford), 2011-07, Vol.47 (7), p.1304-1316

2011

Volltextzugriff (PDF)

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

Automatica (Oxford), 2011-02, Vol.47 (2), p.291-305

2011

Volltextzugriff (PDF)

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

IEEE transactions on automatic control, 2014-11, Vol.59 (11), p.2933-2945

2014

Volltextzugriff (PDF)

Stable spline identification of linear systems under missing data

Automatica (Oxford), 2019-10, Vol.108, p.108493, Article 108493

2019

Volltextzugriff (PDF)

Kernel-based system identification with manifold regularization: A Bayesian perspective

Automatica (Oxford), 2022-08, Vol.142, p.110419, Article 110419

2022

Volltextzugriff (PDF)

Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder–Decoder–Controller Design

IEEE transactions on automatic control, 2017-06, Vol.62 (6), p.3054-3061

2017

Volltextzugriff (PDF)

Derivative-Free Online Learning of Inverse Dynamics Models

IEEE transactions on control systems technology, 2020-05, Vol.28 (3), p.816-830

2020

Volltextzugriff (PDF)

1 – 25 von 141

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(60)
Mit Volltextzugriff
(134)

Publikationsform

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(100)
Technology
(89)
Automation & Control Systems
(72)
Engineering
(64)
Engineering, Electrical & Electronic
(64)
Computer Science
(29)
Applied Sciences
(24)
Computer Science; Control Theory; Systems
(24)
Exact Sciences And Technology
(24)
Computer Science, Artificial Intelligence
(19)
Control Theory. Systems
(19)
Algorithms
(18)
Kernel
(18)
System Identification
(17)
Estimation
(16)
Gaussian Processes
(16)
Modelling And Identification
(16)
Subspace Identification
(15)
Linear System Identification
(13)
Regularization
(13)

15 weitere anzeigen...

Weniger anzeigen...

Menü

Weitere Dienste

Einstellungen

The role of vector autoregressive modeling in predictor-based subspace identification

A Bayesian approach to sparse dynamic network identification

Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator

Distributed Kalman filtering based on consensus strategies

Sparse DCM for whole-brain effective connectivity from resting-state fMRI data

Macroscale coupling between structural and effective connectivity in the mouse brain

Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor

Regularized System Identification: Learning Dynamic Models from Data

A New Kernel-Based Approach for NonlinearSystem Identification

Controlling target brain regions by optimal selection of input nodes

Maximum Entropy vector kernels for MIMO system identification

Optimal Synchronization for Networks of Noisy Double Integrators

Consistency analysis of some closed-loop subspace identification methods

Sparse plus low rank network identification: A nonparametric approach

The harmonic analysis of kernel functions

Control-oriented regularization for linear system identification

Linear system identification using the sequential stabilizing spline algorithm

Data-driven predictive control in a stochastic setting: a unified framework

Information fusion strategies and performance bounds in packet-drop networks

Prediction error identification of linear systems: A nonparametric Gaussian regression approach

System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques

Stable spline identification of linear systems under missing data

Kernel-based system identification with manifold regularization: A Bayesian perspective

Feedback Control Over Lossy SNR-Limited Channels: Linear Encoder–Decoder–Controller Design

Derivative-Free Online Learning of Inverse Dynamics Models

Suchergebnisse filtern