Short biography
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Michel Verhaegen received an engineering degree in
aeronautics from the Delft University of Technology,
Delft, The Netherlands, in 1982 and the doctoral degree
in applied sciences from the Catholic University
Leuven, Belgium, in 1985.
During his graduate study, he held a research
assistantship sponsored by the Flemish Institute for
scientific research (IWT). From 1985 to 1994, he
was a Research Fellow of the U.S. National Research
Council (NRC), affiliated with the NASA Ames
Research Center in California, and of the Dutch
Academy of Arts and Sciences, affiliated with the Network
Theory Group of
the Delft University of Technology. From 1994 to 1999, he
was an Associate
Professor of the Control Laboratory, Delft University of
Technology and was
appointed as Full Professor with the Faculty of Applied
Physics, University of
Twente, The Netherlands, in 1999. In 2001, he moved back to
the University of
Delft and is now a member of the Delft Center for Systems
and Control. He has
held short sabbatical leaves at the University of Uppsala,
McGill, Lund, and
the German Aerospace Research Center (DLR) in Munich and is
participating
in several European Research Networks. His main research
interest is the
interdisciplinary domain of numerical algebra and system
theory. In this field
he has published over 100 papers. Current activities focus
on the transfer of
knowledge about new identification, fault tolerant control
and data-driven
controller design methodologies to industry. Application
areas include smart
structures, adaptive optics, and wind energy.
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Publications
[1]
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M.H. Verhaegen, P. Van Dooren, and J. Vandewalle, "A Robust and Efficient
technique for dealing with time-varying instrumental bias in linear
filtering," IASTED Journ. Contr. Computers, vol. 12, no. 3,
pp. 96-99, 1984.
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[2]
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M.H. Verhaegen and J. Vandewalle, "An analysis of two methods to analyze
dynamic flight test maneuvers," IASTED Journ. Mod. Simulation, 1985.
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[3]
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P. Van Dooren and M.H. Verhaegen, "On the use of unitary state-space
transformations," Special Issue of Contemporary Mathematics on Linear
Algebra and its Role in Systems Theory. AMS, vol. 47, pp. 447-463, 1985.
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[4]
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M.H. Verhaegen and J. Vandewalle, "The contribution of aircraft identification
techniques in the development of Flight Management Systems," Journal
A, vol. 26, no. 2, pp. 57-66, 1985.
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[5]
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M.H. Verhaegen and P. Van Dooren, "A reduced order observer for descriptor
systems," System and Control Letters, vol. 8, pp. 29-37, 1986.
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[6]
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M.H. Verhaegen and P. Van Dooren, "Numerical aspects of different Kalman
filter implementations," IEEE Trans. Aut. Contr., vol. AC-31, no. 10,
pp. 907-917, 1986.
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[7]
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P. Van Dooren and M.H. Verhaegen, "Condensed forms for efficient time
invariant Kalman filtering," SIAM J. Sci. Stat. Comput.,
Vol. 9, No. 3, pp. 516-530, 1988.
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[8]
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M.H. Verhaegen, "A Robust Adaptive flightpath reconstruction technique for
Non-steady Longitudinal flight-test Maneuvres," AIAA J. Guidance,
Control and Dynamics, vol. 11, no. 1, 1988.
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[9]
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M.H. Verhaegen, "Round-off propagation in general applicable recursive least
squares algorithms," Automatica, vol. 25, no. 3, pp. 437-444, 1989.
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[10]
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M. Vanbegin, P. Van Dooren, and M.H. Verhaegen, "FORTRAN subroutines for
computing the Square Root Covariance Filter and Square Root Information
Filter in dense or observer Hessenberg form," ACM Trans. on Math.
Software, 1989.
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[11]
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M.H. Verhaegen, "Improved understanding of the loss of symmetry in the
conventional Kalman filter," IEEE Trans. Aut. Contr. (Technical notes
and Correspondence), vol. AC-34, no. 3, pp. 331-333, 1989.
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[12]
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M.H. Verhaegen, R. Kraan, C. de Reus, A. van Rhijn, and H.B. Verbruggen,
"Practical System Identification in the Process Industry," IASTED
Journ. Control and Computers, pp. 16-20, 1991.
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[13]
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M. Verhaegen and P. Dewilde, "Subspace Model Identification. Part I: The
Output-Error State Space model identification class of algorithms,"
Int. J. Control, Vol. 56, No. 5, pp. 1187-1210, 1992.
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[14]
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M. Verhaegen and P. Dewilde,
"Subspace Model Identification. Part II: Analysis
of the elementary Output-Error State Space model identification algorithm,"
Int. J. Control, Vol. 56, No. 5, pp. 1211-1241, 1992.
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[15]
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M. Verhaegen, "Subspace Model Identification. Part III: Analysis of the
ordinary Output-Error State Space model identification algorithm,"
Int. J. Control, Vol. 58, No. 3, pp. 555-586, 1993.
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[16]
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M. Verhaegen, "Application of a Subspace Model Identification Technique to
identify LTI systems operating in closed loop,"
Automatica, Vol. 29, No. 4, pp. 1027-1040, 1993.
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[17]
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M. Verhaegen, "Identification of the deterministic part of MIMO state
space models given in innovation form from input-output data,"
Automatica, Special Issue on Statistical Signal
Processing and Control, Vol. 30, No. 1, pp. 61-74, 1994.
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[18]
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M. Verhaegen and Y. Xiaode, "A Class of Subspace Model Identification
Algorithms to identify periodically and arbitrary time-varying systems,"
Automatica, Vol. 31, No. 2, pp. 201-216, 1995.
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[19]
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M. Verhaegen and D.T. Westwick and R.E. Kearney,
"The use of a Bilinear Transformation of the Shift Operator
in Subspace Model Identification",
I.E.E.E. Trans. on Autom. Control, AC-40, No. 8, pp. 1422-1428,
1995.
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[20]
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A. van den Boom and M. Verhaegen,
"Identification and Parameter Estimation Techniques: A Review,"
Journal A, 1995.
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[21]
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M. Verhaegen, "
A Subspace Model Identification solution to the identification of
mixed causal, anti-causal LTI systems",
SIAM J. Matrix Analysis and Applications, Vol. 17, No. 2, pp. 332-347,
1996.
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[22]
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M. Verhaegen and D.T. Westwick,
"Identifying MIMO Hammerstein systems in the context of
a subspace Model Identification strategy",
Int. J. Control, Vol. 63, No. 2, pp. 331-349, 1996.
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[23]
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D.T. Westwick and M. Verhaegen,
"Identifying MIMO Wiener systems using
Subspace Model Identification methods",
Invited paper for Signal Processing special issue, Vol. 52, pp.
235-258, 1996.
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[24]
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J. Scherpen and M. Verhaegen,
"Hinfty Output Feedback Control for Linear, Discrete Time-Varying Systems
via the Bounded Real Lemma," Int. J. Control, Vol. 65, No. 6, pp.
963-993, 1996.
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[25]
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N. Xianfeng, M. Verhaegen, A.J. Krijgsman and H.B. Verbruggen,
"A New Method for Identification and Control of Nonlinear Dynamic Systems,"
Engineering Applications of Artificial Intelligence, Vol. 9, No. 3, pp. 231-243, 1996.
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[26]
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M. Verhaegen, "Weighted Sensitivity Minimization for Causal, Linear, Discrete
Time-Varying Systems",
SIAM J. on Optimization and Control, Vol. 35, No. 3, pp. 791-809, 1997.
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[27]
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C.T. Chou and M. Verhaegen,
"Subspace algorithms for the identification of multivariable
dynamic errors-in-variables models,"
Automatica, Vol. 33:10(1857-1869), 1997.
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[28]
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B. Haverkamp, C.T. Chou and M. Verhaegen,
"SMI Toolbox: A Matlab Toolbox for State Space Model Identification,"
Journal A, Vol. 38, No. 3, pp. 34-37, 1997.
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[29]
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M. Verhaegen,
"Identification of the temperature-product quality relationship in a
Multi-component distillation column," invited paper,
Chemical Engineering Communications, Vol. 163, pp. 111-132, 1998.
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[30]
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M.P.G.J. Besteman, C.H.L. Limpens, R. Babuska, J.B. Otten and
M. Verhaegen, "Modeling and Identification of a Strip Guidance
Process with Internal Feedback," I.E.E.E.
Trans. on Contr. Syst. Tech., Vol. 6:1(88-102), 1998.
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[31]
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C.T. Chou, M. Verhaegen and R. Johansson,
"Continuous time identification of SISO systems using Laguerre
functions,"
I.E.E.E. Trans. on Signal Processing, Vol. 47, No. 2,
pp. 349-362, 1999.
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[32]
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J. Bruls, C.T. Chou, B. Haverkamp and M. Verhaegen,
"Linear and Non-linear System Identification Using Separable
Least-squares,"
European J. Control, 5:116-128, 1999.
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[33]
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M. Lovera, T. Gustafsson and M. Verhaegen, "Recursive subspace
identification of linear and non-linear Wiener type models,"
Automatica, Vol. 36, pp. 1639-1650, 2000.
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[34]
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R. Johansson, M. Verhaegen and C.T. Chou, "Stochastic Theory of
Continuous-time State Space Identification,"
I.E.E.E. Trans. on Signal Processing, Vol. 47, No. 1, pp. 41-51,
1999.
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[35]
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M. Abdelghani, M. Verhaegen, P. Van Overschee and B. De Moor,
"Comparison study of subspace identification methods applied to
flexibel structures",
Mechanical Systems and Signal Processing, Vol. 15, No. 5, pp. 679-692,
1998.
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[36]
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R. Johansson and A. Robertsson and K. Nilsson and M. Verhaegen,
"State-Space System Identification of Robot
Manipulator Dynamics," Mechatronics, Vol 10, No. 3, pp. 403-418, 2000.
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[37]
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H.H.J. Bloemen, C.T. Chou, T.J.J. van den Boom, V. Verdult, M. Verhaegen and T. Backx,
"Wiener Model Identification and Predictive Control for Dual Composition Control of a Distillation Column,"
Journal of Process Control, Vol. 11, No. 6, pp. 601-620, 2000.
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[38]
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G.J.C. Copinga, M. Verhaegen and M.J.J.M. van den Ven, "Toward a Web-based
Study Support Environment for teaching Automatic Control," I.E.E.E. Control
Magazine, Vo. 20, No. 4, pp. 8-19, 2000.
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[39]
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R. Koning, C.T. Chou, M. Verhaegen, J.B. Klaassens and J.R.
Uittenbogaart, "A Novel Approach on Parameter Identification for
inverter driven induction Machines," I.E.E.E. Trans. on Control
Systems Technology, Vol 8, no. 6, pp. 873-882, 2000.
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[40]
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S. Kanev and M. Verhaegen,
"Controller reconfiguration for non-linear systems," Control Engineering
Practice, Vol. 13,
pp. 1223-1235, 2000.
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[41]
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V. Verdult and M. Verhaegen,
"Bilinear State Space Systems for Nonlinear Dynamical Modelling,"
Theory in Biosciences, Vol. 119, No. 1, pp. 1-9, 2000.
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[42]
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V. Verdult and M. Verhaegen, "Identification of Multivariable Blinear State
Space Systems Based on Subspace Techniques and Seperable Least Squares Optimization,"
International Journal of Control, Vol. 74, No. 18, pp. 1824-1836, 2001.
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[43]
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M. Verhaegen, "Subspace Model Identification of MIMO Processes," Multivariable
System Identification for Process Control, pp. 199-216, 2001.
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[44]
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R. Johansson, M. Verhaegen, C.T. Chou and A. Robertsson,
"Residual models and stochastic realization in state-space identification,"
International Journal of Control, Vol. 74, No. 10, pp. 988-995, 2001.
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[45]
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J. De Cuyper and M. Verhaegen, "State Space Modeling and Stable Dynamic Inversion
for Trajectory Tracking on an Industrial Seat Test Rig," Journal of vibration and
control, No. 8, pp. 1033-1050, 2002.
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[46]
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V. Verdult, L. Ljung and M. Verhaegen, "Identification of Composite Local Linear State-Space
Models using a Projected Gradient Search," International Journal of Control, Vo. 75, No.
16/17, pp. 1385-1398, 2002.
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[47]
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V. Verdult, M. Verhaegen, "Subspace Identification of Multivariable Linear Parameter-varying
Systems," Automatica, Vol. 38, No. 5, pp. 805-814, 2002.
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[48]
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J. De Cuyper, M. Verhaegen and J. Swevers, "Off-line Feed-forward and Hinfty Feedback Control
on a Vibration Rig," Control Engineering Practice, No. 11, pp. 129-140, 2003.
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[49]
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H. Bloemen, W. van Gulik, L. Wu, J. Heijnen, M. Verhaegen, "Reconstruction of the O_2 uptake
Rate and CO2 Evolutiona Rate on a Time Scale of Seconds," AIChe Journal, Vol. 49, No. 7,
pp. 1895-1908, 2003.
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[50]
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S. Kanev, B. De Schutter, M. Verhaegen, "An Ellipsoid Algorithm for Probabilistic Robust
Controller Design," Systems and Control Letters, Vol. 49, No. 5, pp. 365-375, 2003.
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[51]
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R. Fraanje, M. Verhaegen and N. Doelman, "General Convergence Analysis of the Filtered-U LMS
Algorithm for Active Noise Control in Case Perfect Cancellation is not Possible,"
Signal Processing, Vol. 83, No. 6, pp. 1239-1254, 2003.
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[52]
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R. Fraanje, M. Verhaegen, N. Doelman and A. Berkhoff, "Optimal and Robust Feedback Controller
Estimation for a Vibrating Plate,"
Control Engineering Practice, Special Issue on Emerging
Technologies for Active Noise and Vibration Control Systems, Vol. 12, pp. 1017-1027, 2004.
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[53]
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K. Hinnen, R. Fraanje and M. Verhaegen, "The Application of Initial State Correction in Iterative
Learning Control and the Experimental Validation on a Piezoelectric Tube Scanner,"
Systems and Control Engineering, Vol. 218, pp. 503-511, 2004.
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[54]
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S. Kanev, C. Scherer, M. Verhaegen and B. De Schutter, "Robust Output-Feedback Controller Design
via Local BMI Optimization," Automatica, Vol. 40, pp. 1115-1127, 2004.
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[55]
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V. Verdult, M. Lovera and M. Verhaegen,
"Identification of linear parameter-varying state-space models with application to helicopter
rotor dynamics,"
International Journal of Control, Vol. 77, No. 13, pp. 1149-1159, 2004.
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[56]
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R. Fraanje, A. Sayed, M. Verhaegen, N. Doelman, "A Fast-Array Kalman Filter Solution
to Active Noise Control," International Journal of Adaptive Control and Signal Processing,
Vol. 19, no. 2-3, pp. 125-152, 2005.
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[57]
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R. Fraanje, M. Verhaegen and N. Doelman, "Increasing the robustness
of a preconditioned filtered-X LMS algorithm," IEEE Signal processing letters, Vol. 11, No. 2, pp.
285-288, 2005.
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[58]
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O. Gietelink, B. De Schutter and M. Verhaegen,
"Probalistic Approach for Validation of Advanced Driver Assistance Systems,"
Transportation Research Record, No. 1910, pp. 20-28, 2005.
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[59]
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K. Hinnen, M. Verhaegen, N. Doelman,
"Robust Spectral Factor Approximation of Discrete-Time Frequency Domain
Power Spectra," Automatica, Vol. 41, No. 10, pp. 1791-1798, 2005.
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[60]
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S. Kanev and M. Verhaegen,
"Two-Stage Kalman Filtering via Structured Square-Root,"
In Special Issue for T. Kailath's 70-th birthday, Communications in
Information and Systems, Vol. 5, No. 2, pp. 143-168, 2005.
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[61]
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F. Roth, P. van Genderen and M. Verhaegen,
"Convolutional Models for Buried Target Characterization with Ground Penetrating Radar,"
Antennas and Propagation, Vol. 53, No. 11, pp. 3799-3810, 2005.
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[62]
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V. Verdult and M. Verhaegen,
"Kernel Methods for Subspace Identification of Multivariable LPV and Bilinear
Systems," Automatica, Vol. 41, pp. 157-1565, 2005.
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[63]
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O. Gietelink, J. Ploeg, B. De Schutter and M. Verhaegen,
"Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations,"
Vehicle System Dynamics, Vol. 44, No. 7, pp. 569-590, 2006.
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[64]
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S. Kanev and M. Verhaegen,
"Robustly asymptotically stable finite-horizon MPC,"
Automatica, Vol. 42, No. 12, pp. 2189-2194, 2006.
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[65]
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Z. Yang, M. Blanke, M. Verhaegen,
"Robust Control Mixer Method for Reconfigurable
Control Design Using Model Matching Strategy,"
IET Control Theory & Applications, Vol. 1(1): 349-357, 2007.
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[66]
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S. Kanev, F. Weber and M. Verhaegen,
"Experimental validation of a finite-element model updating procedure,"
Journal of Sound and Vibration, Vol. 300, No. 1-2, pp. 394-413, 2007.
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[67]
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O. Iftime and M. Verhaegen,
"Model-based learning control with non-repetitive initial conditions,"
International Journal of Intelligent Systems Technologies and
Applications,
Vol. 2, No. 2-3, pp. 161-173, 2007.
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[68]
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K. Hinnen, M. Verhaegen and N. Doelman,
"Exploiting the Spatio-Temporal Correlation in Adaptive Optics using Data
Driven H2-optimal control,"
Journal of the Optical Society of America, Vol. 24(5),
pp. 1714-1725, 2007.
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[69]
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R. Fraanje, M. Verhaegen and S. Elliott,
"Robustness of the Filtered-X LMS algorithm, Part I: necessary conditions for
convergence and the asymptotic pseudospectrum of Toeplitz matrices,"
IEEE Trans. Signal Processing, Vol. 55(8), pp. 4029-4037, 2007.
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[70]
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R. Fraanje, S. Elliott and M. Verhaegen,
"Robustness of the Filtered-X LMS algorithm, Part II: robustness
enhancement by
minimal regularization for norm bounded uncertainty,"
IEEE Trans. Signal Processing, Vol. 55(8), pp. 4038-4047, 2007.
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[71]
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F. Felici, J.W. van Wingerden and M. Verhaegen,
"Subspace identification of MIMO LPV systems using a periodic
scheduling sequence,"
Automatica, Vol. 43, pp. 1684-1697, 2007.
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[72]
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K. Hinnen, M. Verhaegen and N. Doelman,
"A Data Driven H2-optimal control Approach for Adaptive Optics,"
IEEE Trans. on Control Systems Technology, Vol. 16(3),
pp. 381-395, 2008.
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[73]
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R. Hallouzi, M. Verhaegen,
"Fault-tolerant subspace predictive control applied to a Boeing 747
model," Journal of guidance control and dynamics, Vol. 31(4),
pp. 873-883, 2008.
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[74]
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R. Hallouzi, M. Verhaegen, S. Kanev,
"Multiple model estimation: A convex model formulation",
International journal of adaptive control and signal processing,
1-24, 2008.
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[75]
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J.W. van Wingerden, A. W. Hulskamp, T. Barlas, B. Marrant,
G. A. M. van Kuik, D-P. Molenaar and M. Verhaegen
"Proof of concept of a `Smart' wind turbine rotor blade for load
alleviation" Wind Energy, Vol. 11, pp. 265-280, 2008.
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[76]
| K. Selvam, S. Kanev, J.W. van Wingerden, T. van
Engelen, M. Verhaegen, "Feedback-feedforward individual pitch
control for wind turbune load reduction," International journal of
robust and nonlinear control, 72-91, 2008.
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[77]
| J.W. van Wingerden, I. Houtzager, F. Felici,
M. Verhaegen, "Closed-loop identification of the
time-varying dynamics of variable-speed wind
turbines," International journal of robust and nonlinear control,
4-21, 2008.
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[78]
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P. Massioni, M. Verhaegen,
"Subspace Identification of Circulant Systems," Automatica,
Vol. 44, pp. 2825-2833, 2008.
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[79]
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M. Gerard, B. De Schutter and M. Verhaegen,
"A Hybrid steepest descent method for constrained convex
optimization," Automatica, Vol. 45, pp. 525-532, 2009.
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[80]
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P. Massioni, M. Verhaegen,
"Distributed Control Design for Identical Dynamically Coupled
Systems: a Decomposition Approach,"
I.E.E.E. Automatic Control, Vol. 54(1), 2009.
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[81]
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J. Rice, M. Verhaegen,
"Distributed Control: A sequentially Semi-Separable
Approach to Spatially Heterogeneous Linear Systems,"
I.E.E.E. Automatic Control, Vol. 54. pp. 1270-1283, 2009.
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[82]
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X. Wei, M. Verhaegen, T. van Engelen,
"Sensor fault detection and isolation for wind turbines based on
subspace identification and Kalman filter techniques,"
Int. J. Adaptive Control, 2009.
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[83]
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N. Doelman, R. Fraanje, I. Houtzagers, M. Verhaegen,
"daptive and Real-time Optimal Control for Adaptive Optics Systems,"
European Journal of Control (Invited Paper), Vol. 15(3-4): 480-488,
2009.
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[84]
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O.J. Gietelink, J. Ploeg, B. De Schutter, and M. Verhaegen,
"Development of a driver information and warning system with vehicle
hardware-in-the-loop simulations," Mechatronics, Special Issue on
Hardware-in-the-Loop Simulation, vol. 19(7):1091-1104,
2009.
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[85]
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J.F. Dong, M. Verhaegen,
"Cautious H2 optimal control using uncertain Markov parameters
identified in closed loop," Systems and Control Letters, 2009.
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[86]
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H. Song, G. Vdovin, R. Fraanje, G. Schitter, M. Verhaegen,
"Extracting hysteresis from nonlinear measurement of
wavefront-sensorless adaptive optics system," Optics Letters,
Vol. 34(1): 61-63, 2009.
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[87]
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J. Rice, M. Verhaegen,
"A Structured Matrix Approach to Efficient
Calculation of LQG Repetitive Learning Controllers in the Lifted Setting", Inter-
national Journal of Control, Vol. 83(6): 1265-1276, 2010.
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[88]
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J. Rice, M. Verhaegen,
"Robust and Distributed Control of a Smart
Blade", Wind Energy, Vol. 13(2-3): 103-116, 2010.
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[89]
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T. Kind, T. Faes, J. Lankhaar, A. Vonk-Noordegraaf, M. Verhaegen,
"Estimation of Three- and Four-Element Windkessel Parameters Using
Subspace Model Identification," IEEE Trans. on Biomedical
Engineering, Vol. 57(7): 1531-1538, 2010.
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[90]
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J. Rice, P. Massioni, T. Keviczky and M. Verhaegen, "Distributed
Control Methods for Structured Large-Scale Systems", In Efficient Modeling
and Control of Large-Scale Systems, Eds. Mohammadpour, Javad;
Grigoriadis, Karolos M., Springer 2010 .
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[91]
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R. Fraanje, P. Massioni, M. Verhaegen,
"A Decomposition Approach to Distributed Control of Dynamic Deformable Mirrors,"
International Journal of Optomechatronics, Vol. 4(3): 269-284, 2010.
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[92]
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A. Hulskamp, J.W. van Wingerden, T. Barlas, H. Champliaud, G. van
Kuik, H. Bersee, M. Verhaegen,
"Design of a scaled wind turbine with a smart rotor for dynamic load
control experiments", Wind Energy, 2010.
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[93]
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X. Wei, M. Verhaegen,
"Sensor and actuator fault diagnosis for wind turbine systems by
using robust observer and filter,", Wind Energy, 2010.
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[94]
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X. Wei, M. Verhaegen,
"Robust Fault Detection Observer and Fault Estimation
Filter Design for LTI Systems Based on GKYP Lemma," European
J. Control, Vol. 16(4): 366-387, 2010.
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[95]
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H. Song, R. Fraanje, G. Schitter, H. Kroese, G. Vdovin, M. Verhaegen,
"Model-based aberration correction in a closed-loop
wavefront-sensor-less adaptive optics system," Optics Express,
Vol. 18(23): 24070-24084, 2010. Also selected for publication in
Virtual Journal for Biomedical Optics by the Editors, Andrew Dunn and
Anthony Durkin.
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[96]
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T. Luspay, B. Kulcsar, J.W. van Wingerden, M. Verhaegen, J. Bokor,
"Linear Parameter Varying Identification of Freeway Traffic Models,"
IEEE Transactions on Control Systems Technology, Vol. 19(1), 2011.
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[97]
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J. Rice, M. Verhaegen,
"Distributed Control in Multiple Dimensions: A Structure Preserving Computational Technique", IEEE Transactions on
Automatic Control, Vol. 56(3), 2011.
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[98]
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J. Rice, M. Verhaegen, "Efficient System Identification of
Heterogeneous Distributed Systems via a Structured Exploiting Extended
Kalman Filter," IEEE Transactions on
Automatic Control, Vol. 56(7), 2011.
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[99]
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P. Massioni, T. Keviczky, E. Gill, M. Verhaegen,
"A Decomposition Based Approach to Linear Time-Periodic Distributed Control of Satellite Formations,"
IEEE Transactions on Control Systems Technology, Vol. 19(3), 2011.
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[100]
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P. Massioni, F. Ankersen, M. Verhaegen,
"A Matching Pursuit Algorithm Approach to Chaser-Target Formation
Flying Problems," IEEE Transactions on Control Systems Technology,
Vol. 20(2), 2012.
|
[101]
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X. Wei, M. Verhaegen,
"Robust Fault Detection Observer Design for Linear Uncertain
Systems," Int. J. Control. Vol. 84 Issue 1, 197, 2011.
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[102]
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H. Song, R. Fraanje, G. Schitter, G. Vdovin, M. Verhaegen,
"Wavefront-sensorless-Adaptive Optics: Accurate modeling for improved
aberration correction," Laser Focus World (Invited Contribution),
Issue 01/25/2011.
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[103]
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H. Song, R. Fraanje, G. Schitter, G. Vdovin, M. Verhaegen,
"Controller design for a high-sampling-rate closed-loop
adaptive optics system with piezo-driven deformable mirror,"
European J. Control (Special Issue), Vol. 17(3), 2011.
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[104]
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I. Houtzager, J.W. van Wingerden, M. Verhaegen,
"Rejection of periodic wind disturbances on a smart rotor test section using lifted repetitive control,"
IEEE Transactions on Control System Technology, 19(2): 284-296, 2011.
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[105]
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P. Massioni, F. Ankersen, M. Verhaegen,
"A Matching Pursuit Algorithm Approach to Chaser-Target Formation Flying Problems,"
IEEE Transactions on Control Systems Technology, Vol. 20(2): 513-519, 2012.
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[106]
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J. Dong, M. Verhaegen,
"Identification of Fault Estimation Filter From I/O Data for Systems With Stable Inversion,"
IEEE Transactions on Automatic Control, Vol. 57(6): 1347-1361, 2012.
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[107]
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A. Haber, M. Verhaegen, R. Fraanje,
"Linear computational complexity robust ILC for lifted systems,"
Automatica, Vol. 48(6):1102-1110, 2012.
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[108]
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V. Korkiakoski, C. Keller, N. Doelman, R. Fraanje, M. Verhaegen,
"Joint optimization of phase diversity and adaptive optics: demonstration of potential,"
Applied Optics, Vol. 51(1): 102-113, 2012.
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[109]
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M. Gerard, W. Pasillas-Lpineb, E. de Vries, M. Verhaegen,
"Improvements to a five-phase ABS algorithm for experimental validation,"
Vehicle System Dynamics 1-27, 2012.
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[110]
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M. Corno, M. Gerard, M. Verhaegen, E. Holweg,
"Hybrid ABS Control Using Force Measurement,"
IEEE Transactions on Control Systems Technology, Vol. 20(5): 1223-1235, 2012.
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[111]
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J. Dong, M. Verhaegen, F. Gustafsson,
"Robust Fault Detection with Statistical Uncertainty in Identied Parameters,"
IEEE Transactions on Signal Processing Vol. 60(10): 5064-5076, 2012.
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[112]
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J. Dong, M. Verhaegen, F. Gustafsson,
"Robust Fault Isolation with Statistical Uncertainty in Identied Parameters,"
IEEE Transactions on Signal Processing 60(10): 5556-5561, 2012.
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[113]
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B. Kulcsar, M. Verhaegen,
"Robust Inversion based Fault Estimation for Discrete-time LPV Systems,"
IEEE Transactions on Automatic Control 57(6): 1581-1586, 2012.
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[114]
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I. Houtzager, J.W. van Wingerden, M. Verhaegen,
"Wind turbine load reduction by rejecting the periodic load disturbances,"
Wind Energy, doi: 10.1002/we.547, 2012.
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[115]
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I. Houtzager, J.W. van Wingerden, M. Verhaegen,
"Recursive predictor-based subspace identication with application to the real-time closed-loop tracking of flutter,"
IEEE Transactions on Control System Technology 20(4): 934-949, 2012.
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[116]
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V. Korkiakoski, C. Keller, N. Doelman, R. Fraanje, and M. Verhaegen,
"Joint optimization of phase diversity and adaptive optics: demonstration of potential,"
Applied Optics, Vol. 51-1: 102-113, 2012.
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[117]
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A. Polo, A. Haber, S. F. Pereira, M. Verhaegen, and H. P. Urbach,
"An innovative and efficient method to control the shape of push-pull membrane deformable mirror,"
Optics Express 20-25: 27922-27932, 2012.
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[118]
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J. Antonello, M. Verhaegen, R. Fraanje, T. van Werkhoven, H. Gerritsen, C. Keller,
"Semidefinite programming for model-based sensorless adaptive optics,"
JOSA A, Vol. 29-11: 2428-2438, 2012.
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[119]
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C. de Visser and M. Verhaegen,
"Wavefront reconstruction in adaptive optics systems using nonlinear multivariable splines," JOSA A Vol. 30-1: 8295, 2013. pdf
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[120]
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H. Ohlsson, A.Y. Yang, R. Dong, M.Verhaegen, S. Shankar Sastry, "Quadratic Basis Pursuit", submitted to IEEE Transactions on Information Technology, 2013. pdf
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[121]
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I. Houtzager, J.W. Van Wingerden, M. Verhaegen, "Rejection of periodic wind disturbances on a smart rotor test section using lifted repetitive control", submitted to IEEE Transactions on Control Systems Technology, 2013.
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[122]
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I. Houtzager, J.W. van Wingerden, M. Verhaegen, "Wind turbine load reduction by rejecting the periodic load disturbances", submitted to Wind Energy, 2013.
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[123]
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J. Dong, B. Kulcsár, M. Verhaegen, "Fault detection for LPV systems using model parameters that can be estimated via linear least squares", submitted to International Journal of Robust and Nonlinear Control, 2013.
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[124]
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A. Haber, A. Polo, C.S. Smith, S.F. Pereira, P. Urbach, M. Verhaegen, "Iterative learning control of a membrane deformable mirror for optimal wavefront correction", submitted to Applied Optics, 2013.
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[125]
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J.S. Gibson, T.C. Tsao, N.E. Tsuchiya, M. Verhaegen, "Control of Jitter in a Laser Beam Experiment by Receding Horizon Adaptive Control", submitted to Mechatronic Systems, 2013.
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[126]
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G.J. Van der Veen, J.W. Van Wingerden, P.A. Fleming, A.K. Scholbrock, M. Verhaegen, "Global data-driven modeling of wind turbines in the presence of turbulence", submitted to Control Engineering Practice, 2013.
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[127]
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G. van der Veen, J.W. van Wingerden, M. Verhaegen, "Global identification of wind turbines using a Hammerstein identification method", submitted to IEEE Transactions on Control Systems Technology, 2013.
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[128]
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J. Tesch, S. Gibson, M. Verhaegen, "Receding-horizon adaptive control of aero-optical wavefronts", submitted to Optical Engineering, 2013.
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[129]
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G. van der Veen, J.W.van Wingerden, M. Bergamasco, M. Lovera, M.Verhaegen, "Closed-loop subspace identification methods: an overview", submitted to IET Control Theory & Applications, 2013.
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[130]
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R.M. Oldenbeuving, H. Song, G. Schitter, M. Verhaegen, E.J. Klein, C.J. Lee, H.L. Offerhaus, K.J. Boller, "High precision wavelength estimation method for integrated optics", submitted to Optics Express, 2013.
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[131]
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A. Haber, A. Polo, S. Ravensbergen, H.P. Urbach, M. Verhaegen, "Identification of a dynamical model of a thermally actuated deformable mirror", submitted to Optics Letters, 2013.
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[132]
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A. Haber, A. Polo, I. Maj, S.F. Pereira, H.P. Urbach, M. Verhaegen, "Predictive control of thermally induced wavefront aberrations", submitted to Optics Express, 2013.
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[133]
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A. Haber, M. Verhaegen, "Subspace identification of large-scale interconnected systems", submitted to IEEE Transactions on Automatic Control, 2013.
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[134]
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C.S. Smith, R. Marinică, A.J. Den Dekker, M. Verhaegen, V. Korkiakoski, C.U. Keller, N. Doelman, "Iterative linear focal-plane wavefront correction", submitted to JOSA A, 2013.
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[135]
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A. Polo, A. Haber, S.F. Pereira, M. Verhaegen, H.P. Urbach, "Linear phase retrieval for real-time adaptive optics", submitted to Journal of the European Optical Society-Rapid publications, 2013.
|
[136]
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A. Haber, M. Verhaegen, "Moving horizon estimation for large-scale interconnected systems", submitted to IEEE Transactions on Automatic Control, 2013.
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[137]
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C.S. Smith, R. Marinica, M. Verhaegen, "Real-time wavefront reconstruction from intensity measurements", submitted to Adaptive Optics for the Extremely Large Telescopes (AO4ELT), 2013.
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[138]
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Y. Qiu, M.B. Van Gijzen, J.W. Van Wingerden, M. Verhaegen, C. Vuik, "Efficient preconditioners for PDE-constrained optimization problems with a multi-level sequentially semiseparable matrix structure", Technical Report 13-04, Delft Institution of Applied Mathematics, Delft University of Technology, 2013.
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[139]
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Y. Qiu, M.B. Van Gijzen, J.W. Van Wingerden, M. Verhaegen, C. Vuik, "Evaluation of Multilevel Sequentially Semiseparable Preconditioners on CFD Benchmark Problems Using IFISS", Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft Institute of Applied Mathematics, 2013.
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[140]
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P. Torres, J.W. van Wingerden, M. Verhaegen, "Output-Error Identification of Large Scale 1D-Spatially Varying Interconnected Systems", IEEE Transactions on Automatics Control, 2014.
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[141]
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M. Verhaegen, A. Hansson, "Nuclear Norm Subspace Identification (N2SID) for short data batches", arXiv preprint arXiv:1401.4273, 2014.
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[142]
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A. Hansson, M. Verhaegen, "Distributed System Identification with ADMM", arXiv preprint arXiv:1403.4804, 2014.
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[143]
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T. Van Werkhoven, J. Antonello, H.H. Truong, M. Verhaegen, H.C. Gerritsen, C.U. Keller, "Snapshot coherence-gated direct wavefront sensing for multi-photon microscopy", Optics Express, 2014.
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[144]
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A. Haber, M. Verhaegen, "Sparse approximate inverses of Gramians and impulse response matrices of large-scale interconnected systems", arXiv preprint arXiv:1405.2580, 2014.
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[145]
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J.Antonello, T. van Werkhoven, M.Verhaegen, H.H. Truong, C.U. Keller, H.C. Gerritsen, "Optimization-based wavefront sensorless adaptive optics for multiphoton microscopy", JOSA A, 2014.
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[146]
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V.Korkiakoski, C.U. Keller, N. Doelman, M. Kenworthy, G. Otten, M. Verhaegen, "Fast & Furious focal-plane wavefront sensing", arXiv preprint arXiv:1406.1006, 2014.
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[147]
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V. Korkiakoski, C.U. Keller, N. Doelman, M. Kenworthy, G. Otten, M. Verhaegen, "Focal-plane wavefront sensing with high-order adaptive optics systems", submitted to SPIE Astronomical Telescopes+ Instrumentation, 2014.
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[148]
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P. Torres, J.W. van Wingerden, M. Verhaegen, "Hierarchical subspace identification of directed acyclic graphs", submitted to International Journal of Control, 2014.
|
[149]
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E. Brunner, C.C. de Visser, M. Verhaegen, "Distributed wavefront reconstruction with SABRE for real-time large scale adaptive optics control", submitted to SPIE Astronomical Telescopes + Instrumentation, 2014.
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[150]
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A. Haber, M. Verhaegen, "Sparse solution of the Lyapunov equation for large-scale interconnected systems", arXiv preprint arXiv:1408.3898, 2014.
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Last update: Dec. 16, 2014 by N4CI webmaster.