default search action
Michel Verhaegen
M. H. G. Verhaegen – M. H. Verhaegen
Person information
- affiliation: Delft University of Technology, Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j93]Jacques Noom, Oleg Soloviev
, Michel Verhaegen:
Proximal-based recursive implementation for model-free data-driven fault diagnosis. Autom. 165: 111656 (2024) - [c95]Yang Wang
Concurrent Li-ion Battery Parameter Estimation and Open-Circuit Voltage Reconstruction via L1-Regularized Least Squares. ECC 2024: 3551-3556 - [i25]Jacques Noom, Oleg Soloviev, Carlas S. Smith, Michel Verhaegen:
Online input design for discrimination of linear models using concave minimization. CoRR abs/2401.05782 (2024) - 2023
- [c94]Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers:
Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings. SSP 2023: 170-174 - [i24]Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers:
In-sector Compressive Beam Alignment for MmWave and THz Radios. CoRR abs/2308.13268 (2023) - 2022
- [c93]Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen:
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CDC 2022: 2111-2116 - [c92]Hamed Masoumi, Nitin Jonathan Myers, Geert Leus
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation. SPAWC 2022: 1-5 - [i23]Jan-Willem van Wingerden, Sebastiaan Paul Mulders, Rogier Dinkla, Tom Oomen, Michel Verhaegen:
Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control. CoRR abs/2209.05210 (2022) - 2021
- [j92]Nguyen Hieu Thao
Convex combination of alternating projection and Douglas-Rachford operators for phase retrieval. Adv. Comput. Math. 47(3): 33 (2021) - [j91]Yue Qiu
Preconditioning Navier-Stokes control using multilevel sequentially semiseparable matrix computations. Numer. Linear Algebra Appl. 28(2) (2021) - [i22]Nguyen Hieu Thao, Oleg Soloviev, Jacques Noom, Michel Verhaegen:
Nonuniform Defocus Removal for Image Classification. CoRR abs/2106.13864 (2021) - 2020
- [j90]Chengpu Yu, Jie Chen, Shukai Li, Michel Verhaegen:
Identification of affinely parameterized state-space models with unknown inputs. Autom. 122: 109271 (2020) - [j89]Bilal Gunes
Tensor networks for MIMO LPV system identification. Int. J. Control 93(4): 797-811 (2020) - [j88]Nguyen Hieu Thao
Phase Retrieval with Sparse Phase Constraint. SIAM J. Math. Data Sci. 2(1): 246-263 (2020) - [j87]Chengpu Yu
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). IEEE Trans. Autom. Control. 65(10): 4201-4214 (2020) - [c91]Jacques Noom, Nguyen Hieu Thao
Closed-Loop Active Model Diagnosis Using Bhattacharyya Coefficient: Application to Automated Visual Inspection. ISDA 2020: 657-667 - [i21]Nguyen Hieu Thao, Oleg Soloviev, Michel Verhaegen:
Convex combination of alternating projection and Douglas-Rachford operators for phase retrieval. CoRR abs/2002.01678 (2020)
2010 – 2019
- 2019
- [j86]Chengpu Yu, Jie Chen, Michel Verhaegen:
Subspace identification of individual systems in a large-scale heterogeneous network. Autom. 109 (2019) - [j85]Baptiste Sinquin
QUARKS: Identification of Large-Scale Kronecker Vector-Autoregressive Models. IEEE Trans. Autom. Control. 64(2): 448-463 (2019) - [j84]Baptiste Sinquin
K4SID: Large-Scale Subspace Identification With Kronecker Modeling. IEEE Trans. Autom. Control. 64(3): 960-975 (2019) - [j83]Guido Monchen, Baptiste Sinquin
Recursive Kronecker-Based Vector Autoregressive Identification for Large-Scale Adaptive Optics. IEEE Trans. Control. Syst. Technol. 27(4): 1677-1684 (2019) - [j82]Reinier Doelman
Systematically Structured $H_2$ Optimal Control for Truss-Supported Segmented Mirrors. IEEE Trans. Control. Syst. Technol. 27(5): 2263-2270 (2019) - [c90]Daniel Gedon, Pieter Piscaer, Kim Batselier, Carlas S. Smith, Michel Verhaegen:
Tensor Network Kalman Filter for LTI Systems. EUSIPCO 2019: 1-5 - 2018
- [j81]Chengpu Yu, Lennart Ljung, Michel Verhaegen:
Identification of structured state-space models. Autom. 90: 54-61 (2018) - [j80]Chengpu Yu, Michel Verhaegen:
Data-driven fault estimation of non-minimum phase LTI systems. Autom. 92: 181-187 (2018) - [j79]Chengpu Yu
Subspace Identification of Individual Systems Operating in a Network (SI2ON). IEEE Trans. Autom. Control. 63(4): 1120-1125 (2018) - [j78]Chengpu Yu
Subspace Identification of Local Systems in One-Dimensional Homogeneous Networks. IEEE Trans. Autom. Control. 63(4): 1126-1131 (2018) - [j77]Yiming Wan
Fault Estimation Filter Design With Guaranteed Stability Using Markov Parameters. IEEE Trans. Autom. Control. 63(4): 1132-1139 (2018) - [j76]Bilal Gunes
Tensor Nuclear Norm LPV Subspace Identification. IEEE Trans. Autom. Control. 63(11): 3897-3903 (2018) - [j75]Chengpu Yu
Structured Modeling and Control of Adaptive Optics Systems. IEEE Trans. Control. Syst. Technol. 26(2): 664-674 (2018) - [j74]Laurens Bliek
Online Optimization With Costly and Noisy Measurements Using Random Fourier Expansions. IEEE Trans. Neural Networks Learn. Syst. 29(1): 167-182 (2018) - [i20]Aleksandar Haber, Michel Verhaegen:
Sparsity Preserving Optimal Control of Discretized PDE Systems. CoRR abs/1801.05194 (2018) - 2017
- [j73]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Predictor-Based Tensor Regression (PBTR) for LPV subspace identification. Autom. 79: 235-243 (2017) - [j72]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
System identification through online sparse Gaussian process regression with input noise. IFAC J. Syst. Control. 2: 1-11 (2017) - [j71]Chengpu Yu, Michel Verhaegen:
Subspace Identification of Distributed Clusters of Homogeneous Systems. IEEE Trans. Autom. Control. 62(1): 463-468 (2017) - [c89]Chengpu Yu, Jie Chen, Lennart Ljung, Michel Verhaegen:
Subspace identification of continuous-time models using generalized orthonormal bases. CDC 2017: 5280-5285 - [c88]Chengpu Yu, Michel Verhaegen:
Subspace identification of 1D large-scale heterogeneous network. ICCA 2017: 218-223 - [c87]Laurens Bliek
Online function minimization with convex random relu expansions. MLSP 2017: 1-6 - [i19]Chengpu Yu, Michel Verhaegen, Anders Hansson:
Subspace Identification of Large-Scale 1D Homogeneous Networks. CoRR abs/1702.03539 (2017) - [i18]Yiming Wan, Tamás Keviczky, Michel Verhaegen:
Fault Estimation Filter Design with Guaranteed Stability Using Markov Parameters. CoRR abs/1708.09034 (2017) - 2016
- [j70]Chengpu Yu, Michel Verhaegen:
Blind multivariable ARMA subspace identification. Autom. 66: 3-14 (2016) - [j69]Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön
Mean and variance of the LQG cost function. Autom. 67: 216-223 (2016) - [j68]Yiming Wan
Data-driven robust receding horizon fault estimation. Autom. 71: 210-221 (2016) - [j67]Michel Verhaegen, Anders Hansson:
N2SID: Nuclear norm subspace identification of innovation models. Autom. 72: 57-63 (2016) - [j66]Aleksandar Haber, Michel Verhaegen:
Sparse solution of the Lyapunov equation for large-scale interconnected systems. Autom. 73: 256-268 (2016) - [c86]Baptiste Sinquin, Michel Verhaegen:
Subspace identification of 1D spatially-varying systems using Sequentially Semi-Separable matrices. ACC 2016: 54-59 - [c85]Yiming Wan
Robust air data sensor fault diagnosis with enhanced fault sensitivity using moving horizon estimation. ACC 2016: 5969-5975 - [c84]João Lopes e Silva, Tamás Keviczky, Michel Verhaegen:
A distributed approach for solving wavefront reconstruction problems. ACC 2016: 6513-6518 - [c83]Reinier Doelman, Michel Verhaegen:
Sequential convex relaxation for convex optimization with bilinear matrix equalities. ECC 2016: 1946-1951 - [i17]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
Online Sparse Gaussian Process Training with Input Noise. CoRR abs/1601.08068 (2016) - [i16]Hildo Bijl, Jan-Willem van Wingerden, Thomas B. Schön, Michel Verhaegen:
Mean and variance of the LQG cost function. CoRR abs/1602.02524 (2016) - [i15]Yiming Wan, Tamás Keviczky, Michel Verhaegen:
Robust Air Data Sensor Fault Diagnosis With Enhanced Fault Sensitivity Using Moving Horizon Estimation. CoRR abs/1602.07736 (2016) - [i14]Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen, Sander Wahls:
Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions. CoRR abs/1603.09620 (2016) - [i13]Hildo Bijl, Thomas B. Schön, Jan-Willem van Wingerden, Michel Verhaegen:
Gaussian process optimization through sampling from the maximum distribution. CoRR abs/1604.00169 (2016) - [i12]Baptiste Sinquin, Michel Verhaegen:
Kronecker-based modeling of networks with unknown communication links. CoRR abs/1609.07518 (2016) - [i11]Chengpu Yu, Lennart Ljung, Michel Verhaegen:
Gray Box Identification of State-Space Models Using Difference of Convex Programming. CoRR abs/1611.04359 (2016) - 2015
- [j65]Patricio Torres
PO-MOESP subspace identification of Directed Acyclic Graphs with unknown topology. Autom. 53: 60-71 (2015) - [j64]Patricio Torres
Hierarchical subspace identification of directed acyclic graphs. Int. J. Control 88(1): 123-137 (2015) - [j63]Patricio Torres
Output-Error Identification of Large Scale 1D-Spatially Varying Interconnected Systems. IEEE Trans. Autom. Control. 60(1): 130-142 (2015) - [j62]Matteo Corno, Nimitt Bhatt, Sergio M. Savaresi, Michel Verhaegen:
Electrochemical Model-Based State of Charge Estimation for Li-Ion Cells. IEEE Trans. Control. Syst. Technol. 23(1): 117-127 (2015) - [c82]Bilal Gunes, Jan-Willem van Wingerden, Michel Verhaegen:
Tensor regression for LTI subspace identification. ACC 2015: 1131-1136 - [c81]Dexter Scobee, Lillian J. Ratliff
Nuclear norm minimization for blind subspace identification (N2BSID). CDC 2015: 2127-2132 - [c80]Chengpu Yu, Michel Verhaegen, Shahar Z. Kovalsky, Ronen Basri:
Identification of structured LTI MIMO state-space models. CDC 2015: 2737-2742 - [r1]Michel Verhaegen:
Subspace Techniques in System Identification. Encyclopedia of Systems and Control 2015 - [i10]Michel Verhaegen, Anders Hansson:
N2SID: Nuclear Norm Subsystem Identification. CoRR abs/1501.04495 (2015) - [i9]Yiming Wan, Tamás Keviczky, Michel Verhaegen, Fredrik Gustafsson:
Data-Driven Robust Receding Horizon Fault Estimation. CoRR abs/1502.07926 (2015) - [i8]Yiming Wan, Tamás Keviczky, Michel Verhaegen:
Direct identification of fault estimation filter for sensor faults. CoRR abs/1505.01958 (2015) - [i7]Chengpu Yu, Michel Verhaegen, Shahar Z. Kovalsky, Ronen Basri:
Identification of Structured LTI MIMO State-Space Models. CoRR abs/1509.08692 (2015) - 2014
- [j61]Aleksandar Haber, Michel Verhaegen:
Subspace Identification of Large-Scale Interconnected Systems. IEEE Trans. Autom. Control. 59(10): 2754-2759 (2014) - [c79]Anders Hansson, Michel Verhaegen:
Distributed system identification with ADMM. CDC 2014: 290-295 - [c78]João Lopes e Silva, Elisabeth Brunner
Wavefront reconstruction using intensity measurements for real-time adaptive optics. ECC 2014: 2412-2417 - [c77]Cornelis C. de Visser
Distributed Wavefront Reconstruction using measurements of the spatial derivatives of the wavefront for real-time large scale adaptive optics control. ECC 2014: 2424-2429 - [c76]Yue Qiu, Martin B. van Gijzen
On the application of a novel model order reduction algorithm for sequentially semi-separable matrices to the identification of one-dimensional distributed systems. ECC 2014: 2750-2755 - [c75]Sander Wahls
Learning multidimensional Fourier series with tensor trains. GlobalSIP 2014: 394-398 - [i6]Michel Verhaegen, Anders Hansson:
Nuclear Norm Subspace Identification (N2SID) for short data batches. CoRR abs/1401.4273 (2014) - [i5]Anders Hansson, Michel Verhaegen:
Distributed System Identification with ADMM. CoRR abs/1403.4804 (2014) - [i4]Aleksandar Haber, Michel Verhaegen:
Sparse approximate inverses of Gramians and impulse response matrices of large-scale interconnected systems. CoRR abs/1405.2580 (2014) - 2013
- [j60]Aleksandar Haber, Michel Verhaegen:
Moving Horizon Estimation for Large-Scale Interconnected Systems. IEEE Trans. Autom. Control. 58(11): 2834-2847 (2013) - [j59]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Rejection of Periodic Wind Disturbances on a Smart Rotor Test Section Using Lifted Repetitive Control. IEEE Trans. Control. Syst. Technol. 21(2): 347-359 (2013) - [j58]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Global Identification of Wind Turbines Using a Hammerstein Identification Method. IEEE Trans. Control. Syst. Technol. 21(4): 1471-1478 (2013) - [c74]Edwin van Solingen, Jan-Willem van Wingerden, Patricio Torres
Parameter estimation for spatially interconnected descriptor systems using Sequentially Semi-Separable matrices. ACC 2013: 1657-1662 - [c73]Raluca Marinica, Carlas S. Smith, Michel Verhaegen:
State feedback control with quadratic output for wavefront correction in adaptive optics. CDC 2013: 3475-3480 - [c72]Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry:
Nonlinear Compressive Particle Filtering. CDC 2013: 7054-7059 - [c71]Han Woong Yoo, Shingo Ito, Michel Verhaegen, Georg Schitter
Transformation-based iterative learning control for non-collocated sensing of a galvanometer scanner. ECC 2013: 1204-1209 - [i3]Henrik Ohlsson, Allen Y. Yang, Roy Dong, Michel Verhaegen, S. Shankar Sastry:
Quadratic Compressive Sensing - A Nonlinear Extension of Compressive Sensing. CoRR abs/1301.7002 (2013) - [i2]Aleksandar Haber, Michel Verhaegen:
Subspace identification of large-scale interconnected systems. CoRR abs/1309.5105 (2013) - [i1]Henrik Ohlsson, Michel Verhaegen, S. Shankar Sastry:
Nonlinear Compressive Particle Filtering. CoRR abs/1309.7315 (2013) - 2012
- [j57]Aleksandar Haber, Rufus Fraanje, Michel Verhaegen:
Linear computational complexity robust ILC for lifted systems. Autom. 48(6): 1102-1110 (2012) - [j56]Jianfei Dong
Identification of Fault Estimation Filter From I/O Data for Systems With Stable Inversion. IEEE Trans. Autom. Control. 57(6): 1347-1361 (2012) - [j55]Balázs Kulcsár
Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems. IEEE Trans. Autom. Control. 57(6): 1581-1586 (2012) - [j54]Balázs Kulcsár
Correction to "Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems". IEEE Trans. Autom. Control. 57(8): 2159 (2012) - [j53]Paolo Massioni
A Matching Pursuit Algorithm Approach to Chaser-Target Formation Flying Problems. IEEE Trans. Control. Syst. Technol. 20(2): 513-519 (2012) - [j52]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Recursive Predictor-Based Subspace Identification With Application to the Real-Time Closed-Loop Tracking of Flutter. IEEE Trans. Control. Syst. Technol. 20(4): 934-949 (2012) - [j51]Matteo Corno, Mathieu Gerard, Michel Verhaegen, Edward Holweg:
Hybrid ABS Control Using Force Measurement. IEEE Trans. Control. Syst. Technol. 20(5): 1223-1235 (2012) - [j50]Jianfei Dong
Robust Fault Detection With Statistical Uncertainty in Identified Parameters. IEEE Trans. Signal Process. 60(10): 5064-5076 (2012) - [j49]Jianfei Dong
Robust Fault Isolation With Statistical Uncertainty in Identified Parameters. IEEE Trans. Signal Process. 60(10): 5556-5561 (2012) - [c70]Matteo Corno, Nimitt Bhatt, Michel Verhaegen:
An efficient control oriented modeling approach for Lithium ion cells. ACC 2012: 4733-4738 - 2011
- [j48]Hong Song, Rufus Fraanje, Georg Schitter
Controller Design for a High-Sampling-Rate Closed-Loop Adaptive Optics System with Piezo-Driven Deformable Mirror. Eur. J. Control 17(3): 290-301 (2011) - [j47]Xiukun Wei, Michel Verhaegen:
Robust fault detection observer design for linear uncertain systems. Int. J. Control 84(1): 197-215 (2011) - [j46]Johan Koopman, Dimitri Jeltsema, Michel Verhaegen:
Port-Hamiltonian description and analysis of the LuGre friction model. Simul. Model. Pract. Theory 19(3): 959-968 (2011) - [j45]Justin K. Rice, Michel Verhaegen:
Distributed Control in Multiple Dimensions: A Structure Preserving Computational Technique. IEEE Trans. Autom. Control. 56(3): 516-530 (2011) - [j44]Justin K. Rice, Michel Verhaegen:
Efficient System Identification of Heterogeneous Distributed Systems via a Structure Exploiting Extended Kalman Filter. IEEE Trans. Autom. Control. 56(7): 1713-1718 (2011) - [j43]Tamás Luspay, Balázs Kulcsár
Linear Parameter Varying Identification of Freeway Traffic Models. IEEE Trans. Control. Syst. Technol. 19(1): 31-45 (2011) - [j42]Jan-Willem van Wingerden, Anton Hulskamp, Thanasis Barlas
Two-Degree-of-Freedom Active Vibration Control of a Prototyped "Smart" Rotor. IEEE Trans. Control. Syst. Technol. 19(2): 284-296 (2011) - [j41]Paolo Massioni
A Decomposition-Based Approach to Linear Time-Periodic Distributed Control of Satellite Formations. IEEE Trans. Control. Syst. Technol. 19(3): 481-492 (2011) - [c69]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
Rejection of periodic wind disturbances on an experimental "smart" rotor section using lifted repetitive control. CCA 2011: 264-271 - [c68]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Data-driven modelling of wind turbines. ACC 2011: 72-77 - [c67]Pieter M. O. Gebraad, Jan-Willem van Wingerden, Gijs van der Veen, Michel Verhaegen:
LPV subspace identification using a novel nuclear norm regularization method. ACC 2011: 165-170 - [c66]Aleksandar Haber, Rufus Fraanje, Michel Verhaegen:
Linear computational complexity design of constrained optimal ILC. CDC/ECC 2011: 5343-5348 - [c65]Ruxandra Mustata, Rufus Fraanje, Michel Verhaegen:
Square-root H2 and H∞ synthesis algorithms for sequentially semi-separable systems. CDC/ECC 2011: 7518-7523 - [c64]Patricio Torres
Modeling of the flow in wind farms for total power optimization. ICCA 2011: 963-968 - 2010
- [j40]Xiukun Wei, Michel Verhaegen:
Robust Fault Detection Observer and Fault Estimation Filter Design for LTI Systems Based on GKYP Lemma. Eur. J. Control 16(4): 366-383 (2010) - [j39]Justin K. Rice, Michel Verhaegen:
A structured matrix approach to efficient calculation of LQG repetitive learning controllers in the lifted setting. Int. J. Control 83(6): 1265-1276 (2010) - [j38]Taco Kind, Theo J. C. Faes, Jan-Willem Lankhaar
Estimation of Three- and Four-Element Windkessel Parameters Using Subspace Model Identification. IEEE Trans. Biomed. Eng. 57(7): 1531-1538 (2010) - [c63]Edo de Bruijn
On the Performance Increase of Wheel Deceleration Control through Force Sensing. CCA 2010: 161-166 - [c62]Paolo Massioni, Michel Verhaegen:
A full block S-procedure application to distributed control. ACC 2010: 2338-2343 - [c61]Justin K. Rice, Michel Verhaegen:
LPV analysis and control using fast iterative solutions to rationally parametric Lyapunov and Riccati equations. ACC 2010: 3877-3882 - [c60]Jianfei Dong
Data driven fault detection with robustness to uncertain parameters identified in closed loop. CDC 2010: 750-755 - [c59]Balázs Kulcsár
Robust cautious data driven control with guaranteed mean square stability. CDC 2010: 2276-2281 - [c58]Gijs van der Veen, Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop MOESP subspace model identification with parametrisable disturbances. CDC 2010: 2813-2818 - [c57]Johan Koopman, Dimitri Jeltsema, Michel Verhaegen:
Wheel slip control using energy shaping. CDC 2010: 2916-2921 - [c56]Jan-Willem van Wingerden, Pieter M. O. Gebraad, Michel Verhaegen:
LPV identification of an aeroelastic flutter model. CDC 2010: 6839-6844 - [c55]Justin K. Rice, Michel Verhaegen:
Exploiting Semi-Separable and toeplitz structure in distributed control of homogeneous systems with arbitrary boundary conditions. ICCA 2010: 109-114 - [c54]Tamás Luspay, Balázs Kulcsár
On acceleration of traffic flow. ITSC 2010: 741-746
2000 – 2009
- 2009
- [j37]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of Bilinear and LPV systems for open- and closed-loop data. Autom. 45(2): 372-381 (2009) - [j36]Mathieu Gerard, Bart De Schutter
A hybrid steepest descent method for constrained convex optimization. Autom. 45(2): 525-531 (2009) - [j35]Niek J. Doelman, Rufus Fraanje, Ivo Houtzager, Michel Verhaegen:
Adaptive and Real-time Optimal Control for Adaptive Optics Systems. Eur. J. Control 15(3-4): 480-488 (2009) - [j34]Jianfei Dong
Cautious Hinfinity optimal control using uncertain Markov parameters identified in closed loop. Syst. Control. Lett. 58(5): 378-388 (2009) - [j33]Paolo Massioni
Distributed Control for Identical Dynamically Coupled Systems: A Decomposition Approach. IEEE Trans. Autom. Control. 54(1): 124-135 (2009) - [j32]Justin K. Rice, Michel Verhaegen:
Distributed Control: A Sequentially Semi-Separable Approach for Spatially Heterogeneous Linear Systems. IEEE Trans. Autom. Control. 54(6): 1270-1283 (2009) - [c53]Mathieu Gerard, Michel Verhaegen:
Global and local chassis control based on load sensing. ACC 2009: 677-682 - [c52]Justin K. Rice, Michel Verhaegen:
Structure preserving model order reduction of heterogeneous 1-D distributed systems. ACC 2009: 4109-4114 - [c51]Balázs Kulcsár
Closed-loop Subspace Predictive Control for Hammerstein systems. CDC 2009: 2604-2609 - [c50]Paolo Massioni
Subspace identification of distributed, decomposable systems. CDC 2009: 3364-3369 - [c49]Ivo Houtzager, Jan-Willem van Wingerden, Michel Verhaegen:
VARMAX-based closed-loop subspace model identification. CDC 2009: 3370-3375 - [c48]Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop subspace identification of Hammerstein-Wiener models. CDC 2009: 3637-3642 - [c47]Justin K. Rice, Michel Verhaegen:
Distributed control of spatially invariant systems using fast iterative solutions to rationally parametric matrix problems. CDC 2009: 7092-7098 - [c46]Paolo Massioni
Adaptive optics application of distributed control design for decomposable systems. CDC 2009: 7113-7118 - [c45]Justin K. Rice, Michel Verhaegen:
Robust control of distributed systems with sequentially semi-separable structure. ECC 2009: 1402-1407 - [c44]Tamás Luspay, Balázs Kulcsár
On the identification of LPV traffic flow model. ECC 2009: 1752-1757 - [c43]Xiukun Wei, Michel Verhaegen:
Mixed H-/H∞dynamic observer design for fault detection. ECC 2009: 1913-1918 - [c42]Xiukun Wei, Michel Verhaegen:
Robust fault detection observer design for LTI systems based on GKYP lemma. ECC 2009: 1919-1924 - [c41]Jianfei Dong
Closed-loop subspace Predictive Control for Linear Parameter Varying systems (i) - the nominal case. ECC 2009: 2009-2014 - [c40]Balázs Kulcsár
Closed-loop subspace Predictive Control for Linear Parameter Varying systems (ii) - a supervisory and robust approach. ECC 2009: 2021-2026 - [c39]Niek J. Doelman, Rufus Fraanje, Ivo Houtzager, Michel Verhaegen:
Adaptive and real-time optimal control for adaptive optics systems. ECC 2009: 3527-3532 - [c38]Justin K. Rice, Michel Verhaegen:
Distributed computations and control in multi-agent systems. ICARA 2009: 44-49 - 2008
- [j31]Paolo Massioni
Subspace identification of circulant systems. Autom. 44(11): 2825-2833 (2008) - [j30]Karel Hinnen, Michel Verhaegen, Niek J. Doelman:
A Data-Driven H2 -Optimal Control Approach for Adaptive Optics. IEEE Trans. Control. Syst. Technol. 16(3): 381-395 (2008) - [c37]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of multivariable LPV systems: a novel approach. CACSD 2008: 840-845 - [c36]Xiukun Wei, Michel Verhaegen:
Mixed H2212;/Hinfinity fault detection observer design for LPV systems. CDC 2008: 1073-1078 - [c35]Jianfei Dong
Model free probabilistic design with uncertain Markov parameters identified in closed loop. CDC 2008: 2637-2643 - [c34]Paolo Massioni
Distributed control of vehicle formations: A decomposition approach. CDC 2008: 2906-2912 - [c33]Justin K. Rice, Michel Verhaegen:
Distributed control: A sequentially semi-separable approach. CDC 2008: 2913-2919 - [c32]Johan Koopman, Dimitri Jeltsema, Michel Verhaegen:
Port-Hamiltonian formulation and analysis of the LuGre friction model. CDC 2008: 3181-3186 - [c31]Jianfei Dong
On the equivalence of closed-loop subspace predictive control with LQG. CDC 2008: 4085-4090 - [c30]Tamas Peni, Balázs Kulcsár
Constrained Hinfinity control for discrete-time LPV systems using interpolation. CDC 2008: 4141-4146 - [c29]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace IDentification of MIMO LPV systems: The PBSID approach. CDC 2008: 4516-4521 - 2007
- [j29]Federico Felici, Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of MIMO LPV systems using a periodic scheduling sequence. Autom. 43(10): 1684-1697 (2007) - [j28]Orest V. Iftime, Michel Verhaegen:
Model-based learning control with non-repetitive initial conditions. Int. J. Intell. Syst. Technol. Appl. 2(2/3): 161-173 (2007) - [j27]Rufus Fraanje, Michel Verhaegen, Stephen J. Elliott:
Robustness of the Filtered-X LMS Algorithm - Part I: Necessary Conditions for Convergence and the Asymptotic Pseudospectrum of Toeplitz Matrices. IEEE Trans. Signal Process. 55(8): 4029-4037 (2007) - [j26]Rufus Fraanje, Stephen J. Elliott, Michel Verhaegen:
Robustness of the Filtered-X LMS Algorithm - Part II: Robustness Enhancement by Minimal Regularization for Norm Bounded Uncertainty. IEEE Trans. Signal Process. 55(8): 4038-4047 (2007) - [c28]Jan-Willem van Wingerden, Michel Verhaegen:
Subspace identification of bilinear systems using a dedicated input sequence. CDC 2007: 4962-4967 - 2006
- [j25]Stoyan Kanev
Robustly asymptotically stable finite-horizon MPC. Autom. 42(12): 2189-2194 (2006) - [c27]Olaf Gietelink, Bart De Schutter
Adaptive importance sampling for probabilistic validation of advanced driver assistance systems. ACC 2006: 1-6 - 2005
- [j24]Vincent Verdult, Michel Verhaegen:
Kernel methods for subspace identification of multivariable LPV and bilinear systems. Autom. 41(9): 1557-1565 (2005) - [j23]Karel Hinnen, Michel Verhaegen, Niek J. Doelman:
Robust spectral factor approximation of discrete-time frequency domain power spectras. Autom. 41(10): 1791-1798 (2005) - [j22]Stoyan Kanev, Michel Verhaegen:
Two-stage Kalman filtering via structured square-root. Commun. Inf. Syst. 5(2): 143-168 (2005) - [c26]Orest V. Iftime, Michel Verhaegen:
Model-Based Learning Control with Non-Repetitive Initial Conditions. ALaRT 2005: 49-56 - [c25]José Borges, Vincent Verdult, Michel Verhaegen, Miguel Ayala Botto
A switching detection method based on projected subspace classification. CDC/ECC 2005: 344-349 - 2004
- [j21]Stoyan Kanev
Robust output-feedback controller design via local BMI optimization. Autom. 40(7): 1115-1127 (2004) - [j20]Rufus Fraanje, Michel Verhaegen, Niek J. Doelman:
Increasing the robustness of a preconditioned filtered-X LMS algorithm. IEEE Signal Process. Lett. 11(2): 285-288 (2004) - [c24]Vincent Verdult, Michel Verhaegen:
Subspace identification of piecewise linear systems. CDC 2004: 3838-3843 - 2003
- [j19]Stoyan Kanev
An ellipsoid algorithm for probabilistic robust controller design. Syst. Control. Lett. 49(5): 365-375 (2003) - [j18]Rufus Fraanje, Michel Verhaegen, Niek J. Doelman:
Convergence analysis of the Filtered-U LMS algorithm for active noise control in case perfect cancellation is not possible. Signal Process. 83(6): 1239-1254 (2003) - [c23]Stoyan Kanev, Carsten W. Scherer, Michel Verhaegen, Bart De Schutter:
A BMI optimization approach to robust output-feedback control. CDC 2003: 851-856 - [c22]Stoyan Kanev, Michel Verhaegen:
Robust output-feedback integral MPC: a probabilistic approach. CDC 2003: 1914-1919 - [c21]Vincent Verdult, Michel Verhaegen:
A Kernel method for subspace identification of multivariable bilinear systems. CDC 2003: 3972-3977 - [c20]Friedrich Roth, Piet van Genderen, Michel Verhaegen:
Host medium transformation of the early-time radar response of a buried dielectric target. IGARSS 2003: 1356-1358 - 2002
- [j17]Vincent Verdult, Michel Verhaegen:
Subspace identification of multivariable linear parameter-varying systems. Autom. 38(5): 805-814 (2002) - [c19]N. H. Bergboer, Vincent Verdult, M. H. G. Verhaegen:
An efficient implementation of maximum likelihood identification of LTI state-space models by local gradient search. CDC 2002: 616-621 - [c18]Vincent Verdult, Niek Bergboer, Michel Verhaegen:
Maximum likelihood identification of multivariable bilinear state-space systems by projected gradient search. CDC 2002: 1808-1813 - [c17]Stoyan Kanev, Bart De Schutter, Michel Verhaegen:
The ellipsoid algorithm for probabilistic robust controller design. CDC 2002: 2248-2253 - 2001
- [c16]Marco Lovera, Thomas Parisini, Michel Verhaegen:
Fault detection: a subspace identification approach. CDC 2001: 2275-2276 - [c15]Hiroshi Oku, G. Nijsse, Michel Verhaegen, Vincent Verdult:
Change detection in the dynamics with recursive subspace identification. CDC 2001: 2297-2302 - [c14]Vincent Verdult, Michel Verhaegen:
Identification of a weighted combination of multivariable local linear state-space systems from input and output data. CDC 2001: 4760-4765 - [c13]Stoyan Kanev
A method for the design of fault-tolerant systems in case of sensor and actuator faults. ECC 2001: 837-842 - [c12]Rufus Fraanje, Michel Verhaegen, Niek J. Doelman:
Robust decision feedback equalizer design via the solution of a regularized least squares problem. ECC 2001: 906-911 - [c11]G. Nijsse, Michel Verhaegen, Niek J. Doelman:
A new subspace based approach to iterative learning control. ECC 2001: 3375-3380 - [c10]Vincent Verdult, Michel Verhaegen:
Identification of multivariable LPV state space systems by local gradient search. ECC 2001: 3675-3680 - 2000
- [j16]Marco Lovera
Recursive subspace identification of linear and non-linear Wiener state-space models. Autom. 36(11): 1639-1650 (2000) - [j15]Richard F. F. Koning, Chun Tung Chou
A novel approach on parameter identification for inverter driven induction machines. IEEE Trans. Control. Syst. Technol. 8(6): 873-882 (2000) - [j14]Vincent Verdult, Michel Verhaegen:
Bilinear state space systems for nonlinear dynamical modelling. Theory Biosci. 119(1): 1-9 (2000) - [c9]Vincent Verdult, Michel Verhaegen:
Identification of multivariable linear parameter-varying systems based on subspace techniques. CDC 2000: 1567-1572 - [c8]Rufus Fraanje, Michel Verhaegen, Niek J. Doelman:
Blockwise subspace identification for active noise control. CDC 2000: 2397-2402 - [c7]Stoyan Kanev, Michel Verhaegen:
A bank of reconfigurable LQG controllers for linear systems subjected to failures. CDC 2000: 3684-3689
1990 – 1999
- 1999
- [j13]J. Bruls, Chun Tung Chou, Bert R. J. Haverkamp, Michel Verhaegen:
Linear and Non-linear System Identification Using Separable Least-Squares. Eur. J. Control 5(1): 116-128 (1999) - [j12]Rolf Johansson
Stochastic theory of continuous-time state-space identification. IEEE Trans. Signal Process. 47(1): 41-51 (1999) - [j11]Chun Tung Chou
Continuous-time identification of SISO systems using Laguerre functions. IEEE Trans. Signal Process. 47(2): 349-362 (1999) - [c6]Chun Tung Chou, Michel Verhaegen:
Closed-loop identification using canonical correlation analysis. ECC 1999: 311-315 - [c5]Wouter Favoreel, Sabine Van Huffel, Bart De Moor, Vasile Sima, Michel Verhaegen:
Comparative study between three subspace identification algorithms. ECC 1999: 821-826 - [c4]Vincent Verdult, Michel Verhaegen:
Subspace-based identification of MIMO bilinear systems. ECC 1999: 2029-2034 - [c3]Rolf Johansson
Correlation methods of continuous-time state-space model identification. ECC 1999: 3310-3315 - 1998
- [j10]Marcel P. G. J. Besteman, Camille H. L. Limpens, Robert Babuska, John B. Otten, Michel Verhaegen:
Modeling and identification of a strip guidance process with internal feedback. IEEE Trans. Control. Syst. Technol. 6(1): 88-102 (1998) - 1997
- [j9]Chun Tung Chou
Subspace Algorithms for the Identification of Multivariable Dynamic Errors-in-Variables Models. Autom. 33(10): 1857-1869 (1997) - [c2]H. J. L. M. Vullings, M. H. G. Verhaegen, Henk B. Verbruggen:
ECG Segmentation Using Time-Warping. IDA 1997: 275-285 - 1996
- [j8]Michel Verhaegen:
A Subspace Model Identification Solution to the Identification of Mixed Causal, Anti-Causal LTI Systems. SIAM J. Matrix Anal. Appl. 17(2): 332-347 (1996) - [j7]David T. Westwick
Identifying MIMO Wiener systems using subspace model identification methods. Signal Process. 52(2): 235-258 (1996) - 1995
- [j6]Michel Verhaegen, Xiaode Yu:
A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems. Autom. 31(2): 201-216 (1995) - [j5]Michel Verhaegen, David T. Westwick, Robert E. Kearney:
The use of a bilinear transformation of the shift operator in subspace model identification. IEEE Trans. Autom. Control. 40(8): 1422-1428 (1995) - [c1]Gerard Schram, Michel Verhaegen, Ardjan Krijgsman, Pejman Djavdan:
System Identification with Orthogonal Basis Functions and Neural Networks. SNN Symposium on Neural Networks 1995: 235-238 - 1994
- [j4]Michel Verhaegen:
Identification of the deterministic part of MIMO state space models given in innovations form from input-output data. Autom. 30(1): 61-74 (1994) - 1993
- [j3]Michel Verhaegen:
Application of a subspace model identification technique to identify LTI systems operating in closed-loop. Autom. 29(4): 1027-1040 (1993)
1980 – 1989
- 1989
- [j2]M. H. Verhaegen:
Round-off error propagation in four generally-applicable, recursive, least-squares estimation schemes. Autom. 25(3): 437-444 (1989) - [j1]Michel Vanbegin, Paul Van Dooren, Michel Verhaegen:
Algorithm 675: Fortran subroutines for computing the square root covariance filter and square root information filter in dense or Hessenberg forms. ACM Trans. Math. Softw. 15(3): 243-256 (1989)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: