nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A Branch and Bound Approach to System Identification based on Fixed-rank Hankel Matrix Optimization
|
Sadeghi, Mostafa |
|
2018 |
51 |
15 |
p. 96-101 |
artikel |
2 |
Accurate piecewise-affine time-discrete modeling of hysteresis-coupled system dynamics
|
Schirrer, Alexander |
|
2018 |
51 |
15 |
p. 156-161 |
artikel |
3 |
A comparison between structured low-rank approximation and correlation approach for data-driven output tracking
|
Formentin, Simone |
|
2018 |
51 |
15 |
p. 1068-1073 |
artikel |
4 |
Adaptive Control of Multivariable Systems with Reduced Knowledge of High Frequency Gain: Application of Dynamic Regressor Extension and Mixing Estimators ⁎ ⁎ This work was financially supported by Government of Russian Federation (Grant 08-08) and the Ministry of Education and Science of Russian Federation (project 14.Z50.31.0031), NSFC (61473183, U1509211).
|
Gerasimov, D. |
|
2018 |
51 |
15 |
p. 886-890 |
artikel |
5 |
Adaptive Identification Algorithm for Continuous-Time Linear Time-Invariant Systems in Frequency Domain ⁎ ⁎ This work was supported in part by the National Natural Science Foundation of China under Grants 11401079 and 11571083 and in part by the Australian Research Council under Grant DP 120104986.
|
Mi, Wen |
|
2018 |
51 |
15 |
p. 239-244 |
artikel |
6 |
Adaptive Neural Prescribed Performance DSC for Non-affine SISO Nonlinear Systems with External Disturbances
|
Tooranjipour, Pouria |
|
2018 |
51 |
15 |
p. 748-753 |
artikel |
7 |
Adaptive Stabilization of Uncertain Non-Affine Systems with Nonlinear Parameterization ⁎ ⁎ This work was supported in part by the Thailand Research Fund under Grants RSA6080027 and Royal Golden Jubilee Ph.D. Program (Grant No. PHD/0158/2552), and by the Key Project of NSFC under Grants 61533009, 111 Project (B08015), Research Projects (JCY20150403161923519) and (KCYKYQD2017005).
|
Lin, Wei |
|
2018 |
51 |
15 |
p. 616-621 |
artikel |
8 |
Affinely Parametrized State-space Models: Ways to Maximize the Likelihood Function
|
Wills, Adrian |
|
2018 |
51 |
15 |
p. 718-723 |
artikel |
9 |
A Fokker-Planck approach to joint state-parameter estimation
|
Lemos, João M. |
|
2018 |
51 |
15 |
p. 389-394 |
artikel |
10 |
A Framework for Inference and Identification of Hybrid-System Models: Mixed Event-/Time-driven Systems (METS)
|
Basiri, Mohammad Hossein |
|
2018 |
51 |
15 |
p. 287-292 |
artikel |
11 |
A fully Bayesian approach to kernel-based regularization for impulse response estimation ⁎ ⁎ This work was supported by the Swedish Research Council under contract number 2016-06079 (NewLEADS).
|
González, Rodrigo A. |
|
2018 |
51 |
15 |
p. 186-191 |
artikel |
12 |
A general convergence result for kernel-based nonparametric identification of nonlinear stochastic systems ⁎ ⁎ The research of Wenxiao Zhao was supported by National Key Research and Development Program of China (2016YFB0901900), the 973 program of China under grant No. 2014CB845301 and the NSF of China under Grants No. 61573345 and 61227902.
|
Zhao, Wenxiao |
|
2018 |
51 |
15 |
p. 634-639 |
artikel |
13 |
Aircraft Structural Health Monitoring Using Transmissibility Identification
|
Khalil, Abdelrahman |
|
2018 |
51 |
15 |
p. 969-974 |
artikel |
14 |
A Kalman filtering approach to traffic flow estimation in computer networks
|
Pozzi, G. |
|
2018 |
51 |
15 |
p. 37-42 |
artikel |
15 |
A kernel-based nonparametric approach to direct data-driven control of LTI systems
|
Cerone, V. |
|
2018 |
51 |
15 |
p. 1026-1031 |
artikel |
16 |
A Markov Chain Approach to Compute the ℓ 2-gain of Nonlinear Systems ⁎ ⁎ This work was partially supported by the Swedish Research Council under contracts 2015-04393 and 2016-06079.
|
Müller, Matias I. |
|
2018 |
51 |
15 |
p. 84-89 |
artikel |
17 |
A “Model-on-Demand” Methodology For Energy Intake Estimation to Improve Gestational Weight Control Interventions ⁎ ⁎ Support for this work has been provided by the National Heart, Lung, and Blood Institute (NHLBI) through grant R01 HL119245. The opinions expressed in this article are the authors’ own and do not necessarily reflect the views of NHLBI.
|
Guo, Penghong |
|
2018 |
51 |
15 |
p. 144-149 |
artikel |
18 |
An Application of Indirect Inference to the Cascaded Tanks Nonlinear Benchmark
|
Pan, Siqi |
|
2018 |
51 |
15 |
p. 790-795 |
artikel |
19 |
An automated instrumental variable method for rigid industrial robot identification
|
Brunot, M. |
|
2018 |
51 |
15 |
p. 431-436 |
artikel |
20 |
A New Recursive Instrumental Variables Approach for Robot Identification
|
Brunot, M. |
|
2018 |
51 |
15 |
p. 132-137 |
artikel |
21 |
An Experiment on Closed-loop System Identification of UAV Using Dual-rate Sampling
|
Nakayama, Mitsuhiro |
|
2018 |
51 |
15 |
p. 598-603 |
artikel |
22 |
ANFIS-Based Optimal Control of Hepatitis C virus epidemic
|
Khodaei-mehr, J. |
|
2018 |
51 |
15 |
p. 539-544 |
artikel |
23 |
An Inverse Differential Game Approach to Modelling Bird Mid-Air Collision Avoidance Behaviours ⁎ ⁎ This work was conducted under the Australian Research Council Linkage Project LP130100483 with the support of Boeing Research and Technology Australia.
|
Molloy, Timothy L. |
|
2018 |
51 |
15 |
p. 754-759 |
artikel |
24 |
A Particle Stochastic Approximation EM Algorithm to Identify Jump Markov Nonlinear Models ⁎ ⁎ This research has been financially supported by the Ministry of Education, Youth and Sports of the Czech republic under the project CEITEC 2020 (LQ1601). A supplementary material can be downloaded from www.researchgate.net/profile/milan_papez.
|
Papež, Milan |
|
2018 |
51 |
15 |
p. 676-681 |
artikel |
25 |
Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem ⁎ ⁎ This work was supported by the Swedish Research Council under contracts 2015-05285, 2016-06079 and by the European Research Council under the advanced grant LEARN, contract 267381.
|
Abdalmoaty, Mohamed Rasheed |
|
2018 |
51 |
15 |
p. 784-789 |
artikel |
26 |
Application of non-parametric methods for integrity monitoring of flight control systems
|
Merkl, Christian |
|
2018 |
51 |
15 |
p. 975-980 |
artikel |
27 |
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.
|
Risuleo, Riccardo Sven |
|
2018 |
51 |
15 |
p. 724-729 |
artikel |
28 |
A practical method for the consistent identification of a module in a dynamical network
|
Gevers, Michel |
|
2018 |
51 |
15 |
p. 862-867 |
artikel |
29 |
A Priori Parameter Identifiability in Complex Reaction Networks ⁎ ⁎ This paper was not presented at any IFAC meeting.
|
Varghese, Arun |
|
2018 |
51 |
15 |
p. 760-765 |
artikel |
30 |
A randomized approach to switched nonlinear systems identification
|
Bianchi, Federico |
|
2018 |
51 |
15 |
p. 281-286 |
artikel |
31 |
A Robust Algorithm for Online Switched System Identification ⁎ ⁎ This work is supported by DARPA grant N66001-14-1-4045, DARPA grant 16-43-D3M-FP-037 and NSF Grant ECCS-1508943.
|
Du, Zhe |
|
2018 |
51 |
15 |
p. 293-298 |
artikel |
32 |
Articulated estimation and differential geometry for system identification
|
Corbier, Christophe |
|
2018 |
51 |
15 |
p. 90-95 |
artikel |
33 |
ARX Model Estimation of Multivariable Errors-in-Variables Systems ⁎ ⁎ This work is supported by the National Science Foundation of China, Grant/Award Number: (grant 61673343).
|
Liu, Xin |
|
2018 |
51 |
15 |
p. 874-879 |
artikel |
34 |
A sequential least squares algorithm for ARMAX dynamic network identification ⁎ ⁎ This project has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).
|
Weerts, Harm H.M. |
|
2018 |
51 |
15 |
p. 844-849 |
artikel |
35 |
A Stochastic Spatio-Temporal Model of the Flow-Front Dynamics in a Vacuum Assisted Resin Transfer Moulding Process
|
Nauheimer, Michael |
|
2018 |
51 |
15 |
p. 383-388 |
artikel |
36 |
A study of approximation errors in local parametric approaches to frequency response function estimation ⁎ ⁎ This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), and by the ERC advanced grant SNLSID, under contract 320378. Dieter Verbeke is supported by an SB-grant of the FWO.
|
Verbeke, Dieter |
|
2018 |
51 |
15 |
p. 814-819 |
artikel |
37 |
A Subalgebraic Procedure for System Identification of a Continuous-Time Polynomial System ⁎ ⁎ Kaihua Xi thanks the China Scolarship Council for financial support.
|
van Schuppen, Jan H. |
|
2018 |
51 |
15 |
p. 395-400 |
artikel |
38 |
Asymptotic Properties of Generalized Cross Validation Estimators for Regularized System Identification ⁎ ⁎ This work was supported in part by the National Natural Science Foundation of China under contract Nos. 61603379 and 61773329, the National Key Basic Research Program of China (973 Program) under contract No. 2014CB845301, the President Fund of Academy of Mathematics and Systems Science, CAS under contract No. 2015-hwyxqnrc-mbq, the Thousand Youth Talents Plan funded by the central government of China, the Shenzhen Research Projects Ji-20170189 and Ji-20160207 funded by the Shenzhen Science and Technology Innovation Council, the Presidential Fund PF. 01.000249 funded by the Chinese University of Hong Kong, Shenzhen, and a research grant for junior researchers under contract No. 2014-5894 funded by Swedish Research Council.
|
Mu, Biqiang |
|
2018 |
51 |
15 |
p. 203-208 |
artikel |
39 |
Basis function identification of lung mechanics in mechanical ventilation for predicting outcomes of therapy changes: A first virtual patient
|
Morton, Sophie E. |
|
2018 |
51 |
15 |
p. 299-304 |
artikel |
40 |
Bioimpedance Parameter Estimation using Fast Spectral Measurements and Regularization
|
Ramírez-Chavarría, Roberto G. |
|
2018 |
51 |
15 |
p. 521-526 |
artikel |
41 |
Changes in Identified, Model-based Insulin Sensitivity can be used to Improve Risk and Variability Forecasting in Glycaemic Control
|
Uyttendaele, Vincent |
|
2018 |
51 |
15 |
p. 311-316 |
artikel |
42 |
Closed-loop subspace identification taking initial state into account ⁎ ⁎ This work is partly supported by JSPS KAKENHI Grant Number 15K06146 and 17K06495.
|
Tanaka, Hideyuki |
|
2018 |
51 |
15 |
p. 604-609 |
artikel |
43 |
Computational burden reduction in set-membership identification of Wiener models
|
Cerone, Vito |
|
2018 |
51 |
15 |
p. 1044-1049 |
artikel |
44 |
Computational Fluid Dynamics and Data–Based Mechanistic Modelling of a Forced Ventilation Chamber ⁎ ⁎ This work is supported by Engineering and Physical Sciences Research Council (EPSRC): EP/M015637/1. The DBM modelling algorithms are available within the CAPTAIN toolbox, which may be downloaded from: http://www.lancaster.ac.uk/staff/taylorcj/tdc.
|
Tate, O. |
|
2018 |
51 |
15 |
p. 263-268 |
artikel |
45 |
Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
|
Mazzoleni, M. |
|
2018 |
51 |
15 |
p. 957-962 |
artikel |
46 |
Constrained model-based design of experiments for the identification of approximated models
|
Quaglio, Marco |
|
2018 |
51 |
15 |
p. 515-520 |
artikel |
47 |
Constructing Metropolis-Hastings proposals using damped BFGS updates ⁎ ⁎ This work was supported by the Australian Research Council Discovery Project DP140104350.
|
Dahlin, Johan |
|
2018 |
51 |
15 |
p. 664-669 |
artikel |
48 |
Contents
|
|
|
2018 |
51 |
15 |
p. i-vi |
artikel |
49 |
CONTSID: a Matlab toolbox for standard and advanced identification of black-box continuous-time models
|
Garnier, H. |
|
2018 |
51 |
15 |
p. 688-693 |
artikel |
50 |
Convergence in Networked Recursive Identification with Output Quantization
|
Yasini, Sholeh |
|
2018 |
51 |
15 |
p. 915-920 |
artikel |
51 |
Covariance Based Estimation for Reduced Order Models of Microgrid Power Flow Dynamics
|
Hu, Yangsheng |
|
2018 |
51 |
15 |
p. 903-908 |
artikel |
52 |
Data-Driven Impulse Response Regularization via Deep Learning
|
Andersson, Carl |
|
2018 |
51 |
15 |
p. 1-6 |
artikel |
53 |
Detecting Nonlinear Modules in a Dynamic Network: A Step-by-Step Procedure ⁎ ⁎ This work has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Unions Horizon 2020 research and innovation programme (grant agreement No 694504).
|
Schoukens, M. |
|
2018 |
51 |
15 |
p. 593-597 |
artikel |
54 |
2D-frequency domain identification of complex sinusoids in the presence of additive noise
|
Soverini, Umberto |
|
2018 |
51 |
15 |
p. 820-825 |
artikel |
55 |
Diesel Engine NOx Emission Modeling Using a New Experiment Design and Reduced Set of Regressors
|
Alcan, Gokhan |
|
2018 |
51 |
15 |
p. 168-173 |
artikel |
56 |
Difference-based Identification Method for Systems with Rate-independent Hysteresis and Its Application to Rechargeable Battery
|
Kawaguchi, T. |
|
2018 |
51 |
15 |
p. 150-155 |
artikel |
57 |
Direct Closed-Loop Identification Approach to Magnetic Levitation System
|
Sun, Lianming |
|
2018 |
51 |
15 |
p. 610-615 |
artikel |
58 |
Direct Data-Driven Control of Cavity Tuners in Particle Accelerators
|
Zanchettin, Andrea M. |
|
2018 |
51 |
15 |
p. 138-143 |
artikel |
59 |
Dual-particle-filtering for Recursive Estimation of Agricultural-machinery Dynamics
|
Cooper, Matthew |
|
2018 |
51 |
15 |
p. 658-663 |
artikel |
60 |
Dynamic Parameters Identification of an Industrial Robot With and Without Payload ⁎ ⁎ This work was partially supported by the ICODE institute, research project of the Idex Paris-Saclay.
|
Bahloul, A. |
|
2018 |
51 |
15 |
p. 443-448 |
artikel |
61 |
Easy Ways to Design Inputs to obtain Uncorrelated Outputs in MIMO System Identification
|
Häggblom, Kurt E. |
|
2018 |
51 |
15 |
p. 227-232 |
artikel |
62 |
Effective recursive parallelotopic bounding for robust output-feedback control
|
Sharma, Udit |
|
2018 |
51 |
15 |
p. 1032-1037 |
artikel |
63 |
Ensuring Stability and Fidelity of Recursively Identified Control-Relevant Models
|
Hajizadeh, Iman |
|
2018 |
51 |
15 |
p. 927-932 |
artikel |
64 |
Estimation of Auto-Regressive models for time series using Binary or Quantized Data
|
Auber, R. |
|
2018 |
51 |
15 |
p. 581-586 |
artikel |
65 |
Estimation of Hidden Chemoattractant Field from Observed Cell Migration Patterns ⁎ ⁎ The research is supported by the PhD Scholarship, Department of Automatic Control and Systems Engineering, the University of Sheffield to AK and with the partial support of BBSRC project BB/L000830/1 to HI, SA and VK.
|
Kadochnikova, Anastasia |
|
2018 |
51 |
15 |
p. 766-771 |
artikel |
66 |
Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods
|
Messo, T. |
|
2018 |
51 |
15 |
p. 449-454 |
artikel |
67 |
Experimentally Validated Extended Kalman Filter for UAV State Estimation Using Low-Cost Sensors
|
Driessen, S.P.H. |
|
2018 |
51 |
15 |
p. 43-48 |
artikel |
68 |
Experiment design for system identification using fractional models of the second kind
|
Malti, Rachid |
|
2018 |
51 |
15 |
p. 371-376 |
artikel |
69 |
Feature extraction of internal dynamics of an engine air path system: Deep autoencoder approach
|
Shimizu, Kazuhiro |
|
2018 |
51 |
15 |
p. 736-741 |
artikel |
70 |
First Results on Regularized Time-Varying Operational Modal Analysis
|
Csurcsia, Péter Zoltán |
|
2018 |
51 |
15 |
p. 162-167 |
artikel |
71 |
Flatness-Based Design of Experiments for Model Selection
|
Schulze, Moritz |
|
2018 |
51 |
15 |
p. 233-238 |
artikel |
72 |
Frequency Domain Estimation of Parallel Hammerstein Systems using Gaussian Process Regression
|
Stoddard, Jeremy G. |
|
2018 |
51 |
15 |
p. 1014-1019 |
artikel |
73 |
Frequency Domain Subspace Identification of Multivariable Dynamical Systems for Robust Control Design
|
Oveisi, Atta |
|
2018 |
51 |
15 |
p. 990-995 |
artikel |
74 |
Frequency Response Function Identification of LPV Systems: a Global Approach with Application to Mechanical Systems
|
de Rozario, Robin |
|
2018 |
51 |
15 |
p. 108-113 |
artikel |
75 |
Frequential identification of an electrochemical cell impedance using fractional modeling
|
Nasser Eddine, Achraf |
|
2018 |
51 |
15 |
p. 802-807 |
artikel |
76 |
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples ⁎ ⁎ This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement nr. 714663).
|
Schoukens, Maarten |
|
2018 |
51 |
15 |
p. 419-424 |
artikel |
77 |
Handling Structural Plant-model Mismatch using a Model-error Model in the Multi-stage NMPC framework ⁎ ⁎ The research leading to these results has received funding from the European Commission under grant agreement number 291458 (ERC Advanced Investigator Grant MOBOCON).
|
Thangavel, Sakthi |
|
2018 |
51 |
15 |
p. 1074-1079 |
artikel |
78 |
Heat equation parameter estimation based on the POD-Galerkin approach
|
Pham, Duc-Cuong |
|
2018 |
51 |
15 |
p. 245-250 |
artikel |
79 |
How consistent is my model with the data? Information-Theoretic Model Check ⁎ ⁎ This work has been partly supported by the Swedish Research Council (VR) under contracts 2016-06079 and 621-2014-5874, as well as the Swedish Foundation for Strategic Research (SSF) via the project ASSEMBLE (contract number: RIT15-0012).
|
Svensson, Andreas |
|
2018 |
51 |
15 |
p. 407-412 |
artikel |
80 |
Hybrid Latent Variable Modeling of High Dimensional Time Series Data
|
Qin, S. Joe |
|
2018 |
51 |
15 |
p. 563-568 |
artikel |
81 |
Identification and an Inverse Filtering Problem
|
Chernodarov, Alexander V. |
|
2018 |
51 |
15 |
p. 66-71 |
artikel |
82 |
Identification of a Class of Nonlinear Dynamical Networks ⁎ ⁎ This work was supported by the Swedish Research Council under contracts 2015-05285, 2016-06079 and by the European Research Council under the advanced grant LEARN, contract 267381.
|
Abdalmoaty, Mohamed R.H. |
|
2018 |
51 |
15 |
p. 868-873 |
artikel |
83 |
Identification of 2D Interconnected Systems: An efficient Steepest-Descent approach.
|
Torres, Patricio |
|
2018 |
51 |
15 |
p. 78-83 |
artikel |
84 |
Identification of Generalized Dynamic Factor Models from mixed-frequency data
|
Anderson, B.D.O. |
|
2018 |
51 |
15 |
p. 1008-1013 |
artikel |
85 |
Identification of low-order models using Laguerre basis function expansions ⁎ ⁎ M.M. gratefully acknowledge the financial support from the Finnish Graduate School in Chemical Engineering (GSCE).
|
Manngård, Mikael |
|
2018 |
51 |
15 |
p. 72-77 |
artikel |
86 |
Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
|
Mazzoleni, M. |
|
2018 |
51 |
15 |
p. 622-627 |
artikel |
87 |
Identification of Nonlinear Feedback Mechanisms Operating in Closed Loop using Inertial Sensors ⁎ ⁎ This work was supported by the project Mobile assessment of human balance (Contract number: 2015-05054), funded by the Swedish Research Council.
|
Olsson, Fredrik |
|
2018 |
51 |
15 |
p. 473-478 |
artikel |
88 |
Identification of stable linear systems via the sequential stabilizing spline algorithm
|
Pillonetto, Gianluigi |
|
2018 |
51 |
15 |
p. 19-24 |
artikel |
89 |
Identification of the cooling system of a large business center
|
Terzi, E. |
|
2018 |
51 |
15 |
p. 174-179 |
artikel |
90 |
Identification of two dimensional complex sinusoids in white noise: a state-space frequency approach
|
Soverini, Umberto |
|
2018 |
51 |
15 |
p. 996-1001 |
artikel |
91 |
Impact of the Missing Data Pattern, the Oversampling, the Noise Level, and the Excitation on Nonparametric Frequency Response Function Estimates
|
Pintelon, R. |
|
2018 |
51 |
15 |
p. 1002-1007 |
artikel |
92 |
Improved Local Rational Method by incorporating system knowledge: with application to mechanical and thermal dynamical systems
|
Evers, Enzo |
|
2018 |
51 |
15 |
p. 808-813 |
artikel |
93 |
Improving Linear State-Space Models with Additional Iterations
|
Gumussoy, Suat |
|
2018 |
51 |
15 |
p. 341-346 |
artikel |
94 |
Improving the particle filter in high dimensions using conjugate artificial process noise
|
Wigren, Anna |
|
2018 |
51 |
15 |
p. 670-675 |
artikel |
95 |
Incremental Segmentation of ARX Models ⁎ ⁎ This work was supported by DARPA grant N66001-14-1-4045 and ONR grant N000141712050.
|
Chou, Glen |
|
2018 |
51 |
15 |
p. 587-592 |
artikel |
96 |
Informative Conditions for Identification of MISO ARMAX Model in Closed-loop Systems ⁎ ⁎ This work is supported by National Science Foundation of China (No.61673343).
|
Yan, Wengang |
|
2018 |
51 |
15 |
p. 455-460 |
artikel |
97 |
Initial-dip Based Quadcopter Control: Application to fNIRS-BCI
|
Zafar, Amad |
|
2018 |
51 |
15 |
p. 945-950 |
artikel |
98 |
In-Orbit Data Driven Identification of Satellite Inertia Matrix
|
Nainer, C. |
|
2018 |
51 |
15 |
p. 467-472 |
artikel |
99 |
Input selection in ARX model estimation using group lasso regularization
|
Klingspor, Måns |
|
2018 |
51 |
15 |
p. 897-902 |
artikel |
100 |
Inverse System Estimation for Feedforward: A Kernel-Based Approach for Non-Causal Systems
|
Blanken, Lennart |
|
2018 |
51 |
15 |
p. 1050-1055 |
artikel |
101 |
Iterative tuning of engine speed controller for launch control applications in sport motorcycles
|
Pozzato, Gabriele |
|
2018 |
51 |
15 |
p. 461-466 |
artikel |
102 |
Joint structure for the real-time estimation and control of automotive dry clutch engagement
|
Sharifzadeh, Mojtaba |
|
2018 |
51 |
15 |
p. 1062-1067 |
artikel |
103 |
Jump model learning and filtering for energy end-use disaggregation
|
Breschi, V. |
|
2018 |
51 |
15 |
p. 275-280 |
artikel |
104 |
Kernel-based SPS
|
Pillonetto, Gianluigi |
|
2018 |
51 |
15 |
p. 31-36 |
artikel |
105 |
Learning Nonlinear State-Space Models Using Smooth Particle-Filter-Based Likelihood Approximations ⁎ ⁎ This research was supported by the Swedish Foundation for Strategic Research (SSF) via the projects ASSEMBLE (contract number: RIT15-0012) and Probabilistic Modeling and Inference for Machine Learning (contract number: ICA16-0015), and the Swedish Research Council (VR) via the projects NewLEADS - New Directions in Learning Dynamical Systems (contract number: 621-2016-06079) and Learning of Large-Scale Probabilistic Dynamical Models (contract number: 2016-04278)
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Svensson, Andreas |
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2018 |
51 |
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p. 652-657 |
artikel |
106 |
LPV System Local Model Interpolation Based on Combined Model Reduction
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Zhang, Qinghua |
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2018 |
51 |
15 |
p. 1104-1109 |
artikel |
107 |
LQR-UKF active comfort control of passenger vehicles with uncertain dynamics
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Dertimanis, Vasilis K. |
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2018 |
51 |
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p. 120-125 |
artikel |
108 |
Maximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data ⁎ ⁎ The work of Juan C. Agüero was partially supported by FONDE-CYT trough grant No 1181158. The work of María Coronel was partially supported by CONICYT-PFCHA/Doctorado Nacional/2017-21170804 and the DGIIP at USM. The work was supported by the Advanced Center for Electrical and Electronic Engineering (AC3E, Proyecto Basal FB0008), Chile
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González, Karen |
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2018 |
51 |
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p. 712-717 |
artikel |
109 |
Maximum Likelihood identification of Wiener-Hammerstein system with process noise
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Giordano, Giuseppe |
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2018 |
51 |
15 |
p. 401-406 |
artikel |
110 |
Maximum Likelihood Infinite Mixture Distribution Estimation Utilizing Finite Gaussian Mixtures ⁎ ⁎ This work was partially supported by FONDECYT trough grant No 1181158, the DGIIP at Universidad Tecnica Federico Santa María and the Advanced Center for Electrical and Electronic Engineering (AC3E, Proyecto Basal FB0008), Chile.
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Orellana, Rafael |
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2018 |
51 |
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p. 706-711 |
artikel |
111 |
Modeling, Identification, Estimation and Adaptation for the Control of Power-Generating Kites ⁎ ⁎ This work supported by the Swiss National Science Foundation (141836), the Swiss Commission for Technology & Innovation (15844.1 & 18212.1), the Swiss Secretariat for Education, Research & Innovation (15.0065), and the EU Marie Curie-Skłodowska (642682).
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Wood, Tony A. |
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2018 |
51 |
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p. 981-989 |
artikel |
112 |
Modeling of the Human Cardiovascular System for Detection of Atherosclerosis
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Jain, Karan |
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2018 |
51 |
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p. 545-550 |
artikel |
113 |
Modeling of the Three-way Catalytic Converter by Recurrent Neural Networks ⁎ ⁎ Acknowledgment: the presented research was done in the employment of the BMW AG.
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Schürholz, Klemens |
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2018 |
51 |
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p. 742-747 |
artikel |
114 |
Modeling the Drift Function in Stochastic Differential Equations using Reduced Rank Gaussian Processes ⁎ ⁎ Financial support of the Academy of Finland under grants no. #266940 and #295080 is hereby gratefully acknowledged.
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Hostettler, Roland |
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2018 |
51 |
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p. 778-783 |
artikel |
115 |
Modelling of glucose-insulin dynamics from low sampled data ⁎ ⁎ This project is funded by Innovation Fund Denmark through the Industrial PhD project 5189-00033B, and the Danish Diabetes Academy supported by the Novo Nordisk Foundation
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Aradóttir, Tinna B. |
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2018 |
51 |
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p. 551-556 |
artikel |
116 |
Multilinear state space system identification with matrix product operators
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Batselier, Kim |
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2018 |
51 |
15 |
p. 640-645 |
artikel |
117 |
Multiple-Input Single-Output Polynomial Nonlinear State-Space Model of the Li-ion Battery’s Short-term Dynamics ⁎ ⁎ Corresponding author acknowledges the financial support obtained from Manufacturing Academy of Denmark (MADE), IWT-SBO BATTLE grant 639, Fund for Scientific Research (FWO-Vlaanderen), Flemish Government (Methusalem grant), the Belgian Government Inter University Poles of Attraction (IAP VII) Program, and ERC Advanced Grant SNLSID under Contract 320378.
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Relan, Rishi |
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2018 |
51 |
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p. 497-502 |
artikel |
118 |
Multiple Kernel Based Regularized System Identification with SURE Hyper-parameter Estimator
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Hong, Shiying |
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2018 |
51 |
15 |
p. 13-18 |
artikel |
119 |
Multi-Sensor Task Assignment Using Linear Matrix Inequalities in the Multiple Target Tracking Problem ⁎ ⁎ This work was supported by Russian Science Foundation (project 16-19-00057).
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Erofeeva, Victoria |
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2018 |
51 |
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p. 880-885 |
artikel |
120 |
New developments in the CAPTAIN Toolbox for Matlab with case study examples ⁎ ⁎ This work is supported by the Engineering and Physical Sciences Research Council (EPSRC), EP/M015637/1 and EP/R02572X/1; and project Programa Estatal de Investigacion 2013–2016, Spain (ECO2015–70331–C2–1–R).
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Taylor, C.J. |
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2018 |
51 |
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p. 694-699 |
artikel |
121 |
New results on estimation bandwidth adaptation
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Niedźwiecki, Maciej |
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2018 |
51 |
15 |
p. 933-938 |
artikel |
122 |
Noise Moment and Parameter Estimation of State-Space Model ⁎ ⁎ This work was supported by the Czech Science Foundation (GACR) under grant GA 16-19999J.
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Kost, Oliver |
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2018 |
51 |
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p. 891-896 |
artikel |
123 |
Non-Asymptotic Confidence Regions for Errors-In-Variables Systems
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Khorasani, Masoud Moravej |
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2018 |
51 |
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p. 1020-1025 |
artikel |
124 |
Nonlinear FIR Identification with Model Order Reduction Steiglitz-McBride ⁎ ⁎ This work was supported by the Swedish Research Council under contracts 2015-05285 and 2016-06079.
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Ferizbegovic, Mina |
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2018 |
51 |
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p. 646-651 |
artikel |
125 |
Nonlinear Hybrid Systems Identification using Kernel-Based Techniques ⁎ ⁎ This research has been supported by the Department of Information Engineering of the University of Padova, Padova, Italy. This paper was not presented at any IFAC meeting. § These authors contributed equally to the study Corresponding author Anna Scampicchio Tel. +39 049 8277614.
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Scampicchio, Anna |
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2018 |
51 |
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p. 269-274 |
artikel |
126 |
Nonlinear observer with observability-based parameter adaptation for vehicle motion estimation
|
Marco, Vicent Rodrigo |
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2018 |
51 |
15 |
p. 60-65 |
artikel |
127 |
Nonparametric Identification of Time-Varying Human Joint Admittance ⁎ ⁎ This research was funded by the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013) ERC Grant Agreement n. 291339, the Research Foundation Flanders (FWO-Vlaanderen), and the Flemish Government (Methusalem Fund METH1).
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Cavallo, G. |
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2018 |
51 |
15 |
p. 533-538 |
artikel |
128 |
On a Parametric Spectral Estimation Problem ⁎ ⁎ This work was supported by the China Scholarship Council (CSC) under File No. 201506230140.
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Zhu, B. |
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2018 |
51 |
15 |
p. 826-831 |
artikel |
129 |
On dynamic network modeling of stationary multivariate processes
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Bottegal, Giulio |
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2018 |
51 |
15 |
p. 850-855 |
artikel |
130 |
On experiment design for local approach identification of LPV systems ⁎ ⁎ This work is supported by a FNADT subvention in the framework of the SUNRISE project
|
Motchon, K.M.D. |
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2018 |
51 |
15 |
p. 221-226 |
artikel |
131 |
Online Features in the MATLAB® System Identification ToolboxTM
|
Ljung, Lennart |
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2018 |
51 |
15 |
p. 700-705 |
artikel |
132 |
On-line Maneuver Identification in Highway Traffic Using Elastic Template Matching ⁎ ⁎ This work has been partially conducted within the ENABLE-S3 project that has received funding from the Ecsel Joint Undertaking under grant agreement no 692455. This joint undertaking receives support from the European Union's Horizon 2020 Research and Innovation Programme and Austria, Denmark, Germany, Finland, Czech Republic, Italy, Spain, Portugal, Poland, Ireland, Belgium, France, Netherlands, United Kingdom, Slovakia, and Norway.
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Tkachenko, Pavlo |
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2018 |
51 |
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p. 557-562 |
artikel |
133 |
Online model-based redesign of experiments for improving parameter precision in continuous flow reactors
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Pankajakshan, Arun |
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2018 |
51 |
15 |
p. 359-364 |
artikel |
134 |
On LPV System Identification Algorithms for Input-Output Model Structures and their Relation to LTI System Identification ⁎ ⁎ This work was supported by IAV GmbH.
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Schulz, Erik |
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2018 |
51 |
15 |
p. 1098-1103 |
artikel |
135 |
On Representations of Linear Dynamic Networks ⁎ ⁎ This project has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 694504).
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Kivits, E.M.M. |
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2018 |
51 |
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p. 838-843 |
artikel |
136 |
On the equivalence of forward and inverse IV estimators with application to quadcopter modeling
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Ho, Du |
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2018 |
51 |
15 |
p. 951-956 |
artikel |
137 |
On the Identification of Self-Adjoint Linear Time-Varying State Models
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Rapisarda, P. |
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2018 |
51 |
15 |
p. 251-256 |
artikel |
138 |
Optimal Experiment Design for Identifying Dynamical Takagi-Sugeno Models with Minimal Parameter Uncertainty
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Gringard, M. |
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2018 |
51 |
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p. 353-358 |
artikel |
139 |
Optimal input design for minimum-variance estimation of parameters in nonlinear state-space models
|
Keesman, Karel J. |
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2018 |
51 |
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p. 365-370 |
artikel |
140 |
Optimal Input Excitation Design for Nonparametric Uncertainty Quantification of Multi-Input Multi-Output Systems
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Oveisi, Atta |
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2018 |
51 |
15 |
p. 114-119 |
artikel |
141 |
Optimization-based prediction of fold bifurcations in nonlinear ODE models ⁎ ⁎ We acknowledge funding from the Spanish MINECO (and the European Regional Development Fund) project SYNBIOFACTORY (grant number DPI2014-55276-C5-2-R).
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Otero-Muras, Irene |
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2018 |
51 |
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p. 485-490 |
artikel |
142 |
Order and parameter identification for a non-integer-order model of an EEG system
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Besançon, Gildas |
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2018 |
51 |
15 |
p. 772-777 |
artikel |
143 |
Parameter Identification of Linear Discrete-Time Systems with Guaranteed Transient Performance ⁎ ⁎ This work was financially supported by the Government of the Russian Federation (Grant 074-U01) through ITMO Postdoctoral Fellowship program.
|
Belov, Alexey A. |
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2018 |
51 |
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p. 1038-1043 |
artikel |
144 |
Parametric Identification and Controller Design for a Differential-Drive Mobile Robot ⁎ ⁎ This work has been funded by the CAPES PROCAD research project on Assistive Technologies.
|
Alves, Tiago G. |
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2018 |
51 |
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p. 437-442 |
artikel |
145 |
PHIL Test Bench for Online-Identification Methods of Complex Power Grid
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Reinikka, T. |
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2018 |
51 |
15 |
p. 832-837 |
artikel |
146 |
Physically motivated rank constraint on direct throughput of state-space models
|
Gibanica, Mladen |
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2018 |
51 |
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p. 329-334 |
artikel |
147 |
Physical Parameter Estimation for Feedforward and Feedback Control of a Robot Arm with Elastic Joints
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Oaki, Junji |
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2018 |
51 |
15 |
p. 425-430 |
artikel |
148 |
Piecewise Regression through the Akaike Information Criterion using Mathematical Programming ⁎ ⁎ This work was supported by The Leverhulme Trust under Grant number RPG-2015-240
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Gkioulekas, Ioannis |
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2018 |
51 |
15 |
p. 730-735 |
artikel |
149 |
Positive FIR System Identification using Maximum Entropy Prior
|
Zheng, Man |
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2018 |
51 |
15 |
p. 7-12 |
artikel |
150 |
Quantum System Fidelity Estimation
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Kosut, Robert L. |
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2018 |
51 |
15 |
p. 102-107 |
artikel |
151 |
Quasi-LPV modelling of a projectile’s behaviour in flight
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Machala, Dawid |
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2018 |
51 |
15 |
p. 1080-1085 |
artikel |
152 |
Ranking Variables in Nonlinear Nonparametric Additive System Identification ⁎ ⁎ This work was supported in part by NSF CNS-1239509
|
Cheng, Changming |
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2018 |
51 |
15 |
p. 628-633 |
artikel |
153 |
Recursive Identification of Fractional Time-Delay Systems Using Discrete-Time Model
|
Higo, Toshiaki |
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2018 |
51 |
15 |
p. 939-944 |
artikel |
154 |
Recursive Identification of IIR Systems with Multilevel Output Quantization and Lossy Memoryless Channels with Transmission Errors
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Gómez, Juan Carlos |
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2018 |
51 |
15 |
p. 909-914 |
artikel |
155 |
Regularized Basis Function Estimation of Volterra Kernels for the Cascaded Tanks Benchmark
|
Stoddard, Jeremy G. |
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2018 |
51 |
15 |
p. 413-418 |
artikel |
156 |
Regularized LTI System Identification with Multiple Regularization Matrix ⁎ ⁎ This work was supported by the Thousand Youth Talents Plan of China, the general projects funded by NSFC under contract No. 61773329 and 61603379, the Shenzhen research projects funded by the Shenzhen Science and Technology Innovation Council under contract No. Ji-20170189 and Ji-20160207, the President’s grant under contract No. PF. 01.000249 and the Start-up grant under contract No. 2014.0003.23 funded by the Chinese University of Hong Kong, Shenzhen, as well as by a research grant for junior researchers funded by Swedish Research Council under contract No. 2014-5894, the National Key Basic Research Program of China (973 Program) under contract No. 2014CB845301, the President Fund of AMSS, CAS under contract No. 2015-hwyxqnrc-mbq.
|
Chen, Tianshi |
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2018 |
51 |
15 |
p. 180-185 |
artikel |
157 |
Regularized Moving-Horizon PWA Regression for LPV System Identification ⁎ ⁎ This work was partially supported by the H2020-723248 project “DAEDALUS - Distributed control and simulation platform to support an ecosystem of digital automation developers”.
|
Mejari, Manas |
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2018 |
51 |
15 |
p. 1092-1097 |
artikel |
158 |
Sampled-Data Based State and Parameter Estimation for State-Affine Systems with Uncertain Output Equation
|
Ahmed-Ali, Tarek |
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2018 |
51 |
15 |
p. 491-496 |
artikel |
159 |
Sensitive Order Selection via Identification of Regularized FIR Models with Impulse Response Preservation
|
Münker, Tobias |
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2018 |
51 |
15 |
p. 197-202 |
artikel |
160 |
Sensitivity Analysis for Global Parameter Identification. Application to Aerodynamic Coefficients
|
Albisser, Marie |
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2018 |
51 |
15 |
p. 963-968 |
artikel |
161 |
Some Results on Simultaneous Input and State Estimation for Linear Systems ⁎ ⁎ This work was supported in part by the Natural Science Foundation of Shandong Province under Grant ZR2016FM17 and the Australian Research Council under Grant DP120104986.
|
Song, Xinmin |
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2018 |
51 |
15 |
p. 49-54 |
artikel |
162 |
Sparse Bayesian ARX models with flexible noise distributions ⁎ ⁎ This work was supported by the Australian Research Council Discovery Project DP140104350. The EEG data was kindly provided by Eline Borch Petersen and Thomas Lunner at Eriksholm Research Centre, Oticon A/S, Denmark.
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Dahlin, Johan |
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2018 |
51 |
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p. 25-30 |
artikel |
163 |
Sparse Estimation for the Assessment of Muscular Activity based on sEMG Measurements
|
Olbrich, Michael |
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2018 |
51 |
15 |
p. 305-310 |
artikel |
164 |
Stabilized Prediction Error Method for Closed-loop Identification of Unstable Systems
|
Maruta, Ichiro |
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2018 |
51 |
15 |
p. 479-484 |
artikel |
165 |
State-dependent parameter model identification for inverse dead-zone control of a hydraulic manipulator ⁎ ⁎ This work is supported by the Engineering and Physical Sciences Research Council (EPSRC), EP/M015637/1 and EP/R02572X/1. The authors are also grateful for the support of the Nuclear Decommissioning Authority The modelling algorithms are available as the CAPTAIN Toolbox (Taylor et al., 2007a), which may be freely downloaded from: http://www.lancaster.ac.uk/staff/taylorcj/tdc.
|
West, C. |
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2018 |
51 |
15 |
p. 126-131 |
artikel |
166 |
State Estimation for Stochastic Time Varying Systems with Disturbance Rejection ⁎ ⁎ L. Zhang acknowledges the financial support partly by the National Nature Science Foundation of China (11701040) and Innovation Foundation of BUPT for Youth (500417024).
|
Zhang, Qinghua |
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2018 |
51 |
15 |
p. 55-59 |
artikel |
167 |
Structure Selection and LPV Model Identification of a Car Steering Dynamics ⁎ ⁎ This work was supported by the Excellent Center for Vehicle Technology (J3K) No: MTA KEP-4/2017.
|
Rödönyi, Gábor |
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2018 |
51 |
15 |
p. 1086-1091 |
artikel |
168 |
Subspace Hammerstein Model Identification under Periodic Disturbance
|
Hou, Jie |
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2018 |
51 |
15 |
p. 335-340 |
artikel |
169 |
Surrogate Data and Nonlinear Distortion for Nonlinear Model Development—A Preliminary Study
|
Waller, Matias |
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2018 |
51 |
15 |
p. 503-508 |
artikel |
170 |
Synthetic Patient Database of Drug Effect in General Anesthesia for Evaluation of Estimation and Control Algorithms
|
Guo, Zhaoyu |
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2018 |
51 |
15 |
p. 323-328 |
artikel |
171 |
The Effect of Prior Knowledge on the Least Costly Identification Experiment ⁎ ⁎ This work was supported in part by the Fund for Scientific Research (FWO-Vlaanderen), by the Flemish Government (Methusalem), the Belgian Government through the Inter university Poles of Attraction (IAP VII) Program, and by the ERC advanced grant SNLSID, under contract 320378.
|
Birpoutsoukis, Georgios |
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2018 |
51 |
15 |
p. 209-214 |
artikel |
172 |
The pwpfit Toolbox for Polynomial and Piece-wise Polynomial Data Fitting
|
Cunis, Torbjørn |
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2018 |
51 |
15 |
p. 682-687 |
artikel |
173 |
The role of noise modeling in the estimation of resting-state brain effective connectivity
|
Prando, G. |
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2018 |
51 |
15 |
p. 527-532 |
artikel |
174 |
Time and Frequency Domain Data-driven PID Iterative Tuning
|
Silva Moreira, Lucas José da |
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2018 |
51 |
15 |
p. 1056-1061 |
artikel |
175 |
Time domain diffusion parameters identification of electrochemical impedance models using fractional order system
|
Eddine, Achraf Nasser |
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2018 |
51 |
15 |
p. 377-382 |
artikel |
176 |
Topology Identification of Dynamical Networks via Compressive Sensing
|
Jahandari, Sina |
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2018 |
51 |
15 |
p. 575-580 |
artikel |
177 |
Towards D-Optimal Input Design for Finite-Sample System Identification ⁎ ⁎ S. Kolumban was supported by the NWO Gravitation Project NETWORKS; B. Cs. Csaji was supported by the Hung. Sci. Res. Fund (OTKA), KH17 125698, the GINOP-2.3.2-15-2016-00002 grant, and the Janos Bolyai Research Fellowship, BO/00217/16/6.
|
Kolumbán, Sándor |
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2018 |
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p. 215-220 |
artikel |
178 |
Tremor severity rating by Markov chains
|
Olsson, Fredrik |
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2018 |
51 |
15 |
p. 317-322 |
artikel |
179 |
Tsallis Relative Entropy within Statistical Linearization Problems
|
Chernyshov, K.R. |
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2018 |
51 |
15 |
p. 509-514 |
artikel |
180 |
Unbiased Adaptive LASSO Parameter Estimation for Diffusion Processes ⁎ ⁎ This work was supported by the Swedish strategic research programme eSSENCE. Some of the computations were performed on resources provided by SNIC through Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under project p20156155.
|
Lindström, Erik |
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2018 |
51 |
15 |
p. 257-262 |
artikel |
181 |
Update of Feedforward Compensation with Experimental Data based on Kernel Regularized Identification ⁎ ⁎ This work is supported by KAKENHI Grant Number JP17H03281.
|
Fujimoto, Yusuke |
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2018 |
51 |
15 |
p. 192-196 |
artikel |
182 |
Using Decoupling Methods to Reduce Polynomial NARX Models ⁎ ⁎ Supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) through grant RGPIN/06464-2015 and the Fund for Scientific Research (FWO- Vlaanderen), by the ERC Advanced Grant SNLSID under contract 320378 and by FWO project G.0280.15N.
|
Westwick, David T. |
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2018 |
51 |
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p. 796-801 |
artikel |
183 |
Wavelet-based On-line Multiscale Subspace Identification of Nuclear Reactor
|
Vajpayee, Vineet |
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2018 |
51 |
15 |
p. 347-352 |
artikel |
184 |
Wavelet based Steglitz Mc-Bride algorithm for Identification of Multiscale Output-Error Models
|
Pinnamaraju, Vivek S. |
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2018 |
51 |
15 |
p. 921-926 |
artikel |
185 |
Weighted Null-Space Fitting for Identification of Cascade Networks ⁎ ⁎ This work was supported by the Swedish Research Council through the project System identification: Unleashing the algorithms (contract 2015-05285) and the research environment NewLEADS: New Directions in Learning Dynamical Systems (contract 2016-06079).
|
Galrinho, Miguel |
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2018 |
51 |
15 |
p. 856-861 |
artikel |
186 |
Work-Time Identification and Effort Assessment: Application to Fenestration Industry and Case Study ⁎ ⁎ The authors would like to acknowledge the funding received from the NSERC ENGAGE (Industry-University partnership) program through EGP-492358-15 grant.
|
Polotski, Vladimir |
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2018 |
51 |
15 |
p. 569-574 |
artikel |