Searched for: author%3A%22Verhaegen%2C+M.H.G.%22
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Yu, C. (author), Verhaegen, M.H.G. (author)
In this paper, we study the deterministic blind identification of multiple channel state-space models having a common unknown input using measured output signals that are perturbed by additive white noise sequences. Different from traditional blind identification problems, the considered system is an autoregressive system rather than an FIR...
journal article 2016
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Yu, C. (author), Verhaegen, M.H.G. (author)
This note studies the identification of a network comprised of interconnected clusters of LTI systems. Each cluster consists of homogeneous dynamical systems, and its interconnections with the rest of the network are unmeasurable. A subspace identification method is proposed for identifying a single cluster using only local input and output data...
journal article 2017
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de Visser, C.C. (author), Brunner, A.E. (author), Verhaegen, M.H.G. (author)
The distributed-spline-based aberration reconstruction (D-SABRE) method is proposed for distributed wavefront reconstruction with applications to large-scale adaptive optics systems. D-SABRE decomposes the wavefront sensor domain into any number of partitions and solves a local wavefront reconstruction problem on each partition using...
journal article 2016
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Gunes, Bilal (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author)
The major bottleneck in state-of-the-art Linear Parameter Varying (LPV) subspace methods is the curse-of-dimensionality during the first regression step. In this paper, the origin of the curse-of-dimensionality is pinpointed and subsequently a novel method is proposed which does not suffer from this bottleneck. The problem is related to the...
journal article 2017
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Wilding, D. (author), Pozzi, P. (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)
Three-dimensional microscopy suffers from sample-induced aberrations that reduce the resolution and lead to misinterpretations of the object distribution. In this paper, the resolution of a three-dimensional fluorescent microscope is significantly improved by introducing an amplitude diversity in the form of a binary amplitude mask positioned...
journal article 2018
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Brunner, A.E. (author), de Visser, C.C. (author), Vuik, Cornelis (author), Verhaegen, M.H.G. (author)
This paper presents an adaptation of the distributed-spline-based aberration reconstruction method for Shack–Hartmann (SH) slope measurements to extremely large-scale adaptive optics systems and the execution on graphics processing units (GPUs). The introduction of a hierarchical multi-level scheme for the elimination of piston offsets between...
journal article 2018
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Doelman, R. (author), Nguyen, Hieu Thao (author), Verhaegen, M.H.G. (author)
We present a convex relaxation-based algorithm for large-scale general phase retrieval problems. General phase retrieval problems include, e.g., the estimation of the phase of the optical field in the pupil plane based on intensity measurements of a point source recorded in the image (focal) plane. The non-convex problem of finding the...
journal article 2018
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Gunes, Bilal (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author)
In this paper, we present a novel multiple input multiple output (MIMO) linear parameter varying (LPV) state-space refinement system identification algorithm that uses tensor networks. Its novelty mainly lies in representing the LPV sub-Markov parameters, data and state-revealing matrix condensely and in exact manner using specific tensor...
journal article 2018
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Monchen, Guido (author), Sinquin, B. (author), Verhaegen, M.H.G. (author)
This brief presents an algorithm for the recursive identification of Vector AutoRegressive (VAR) models of large dimensions. We consider a VAR model where the coefficient matrices can be written as a sum of Kronecker products. The algorithm proposed consists of recursively updating the Kronecker factor matrices at each new time step using...
journal article 2018
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Yu, C. (author), Verhaegen, M.H.G. (author)
Abstract:<br/>This note studies the identification of individual systems operating in a large-scale distributed network by considering the interconnection signals between neighboring systems to be unmeasurable. The unmeasurable interconnections act as unknown system inputs to the individual systems in a network, which poses a challenge for the...
journal article 2017
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Wan, Yiming (author), Keviczky, T. (author), Verhaegen, M.H.G. (author)
journal article 2017
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Agbana, T.E. (author), Gong, H. (author), Amoah, A.S. (author), Bezzubik, V (author), Verhaegen, M.H.G. (author), Vdovin, Gleb (author)
journal article 2017
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Wilding, D. (author), Soloviev, O.A. (author), Pozzi, P. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author)
A methodology for retrieving the unknown object distribution and point-spread functions (PSFs) from a set of images acquired in the presence of temporal phase aberrations is presented in this paper. The method works by finding optimal complimentary linear filters for multi-frame deconvolution. The algorithm uses undemanding computational...
journal article 2017
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Pozzi, P. (author), Maddalena, L. (author), Ceffa, N.G. (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Carroll, E.C.M. (author), Verhaegen, M.H.G. (author)
The use of spatial light modulators to project computer generated holograms is a common strategy for optogenetic stimulation of multiple structures of interest within a three-dimensional volume. A common requirement when addressing multiple targets sparsely distributed in three dimensions is the generation of a points cloud, focusing excitation...
journal article 2019
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Doelman, R. (author), Verhaegen, M.H.G. (author)
We analyse the very general class of uncertain systems that have Linear Fractional Representations (LFRs), and uncertainty blocks in a convex set with a finite number of vertices. For these systems we design static output feedback controllers. In the general case, computing a robust static output feedback controller with optimal performance...
journal article 2017
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Kazasidis, Orestis (author), Verpoort, Sven (author), Soloviev, O.A. (author), Vdovin, Gleb (author), Verhaegen, M.H.G. (author), Wittrock, Ulrich (author)
With a view to the next generation of large space telescopes, we investigate guide-starfree, image-based aberration correction using a unimorph deformable mirror in a plane conjugate to the primary mirror.We designed and built a high-resolution imaging testbed to evaluate control algorithms. In this paper we use an algorithm based on the...
journal article 2018
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Gong, H. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author), Vdovin, Gleb (author)
We present a quantitative phase imaging microscope based on a Shack-Hartmann sensor, that directly reconstructs the optical path difference (OPD) in reflective mode. Comparing with the holographic or interferometric methods, the SH technique needs no reference beam in the setup, which simplifies the system. With a preregistered reference, the...
journal article 2017
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Noom, J. (author), Smith, C.S. (author), Verbiest, G.J. (author), Katan, A.J. (author), Soloviev, O.A. (author), Verhaegen, M.H.G. (author)
We propose to use the State Estimation by Sum-of-Norms Regularisation (STATESON-)algorithm for recovering the tip-sample interaction in high-speed tapping mode atomic force microscopy (AFM). This approach enables accurate sample height estimation for each independent cantilever oscillation period, provided that the tip-sample interaction...
journal article 2023
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Yu, C. (author), Ljung, Lennart (author), Wills, Adrian (author), Verhaegen, M.H.G. (author)
In this paper, a unified identification framework called constrained subspace method for structured state-space models (COSMOS) is presented, where the structure is defined by a user specified linear or polynomial parametrization. The new approach operates directly from the input and output data, which differs from the traditional two-step...
journal article 2020
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Qiu, Yue (author), van Gijzen, M.B. (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author), Vuik, Cornelis (author)
In this article, we study preconditioning techniques for the control of the Navier–Stokes equation, where the control only acts on a few parts of the domain. Optimization, discretization, and linearization of the control problem results in a generalized linear saddle-point system. The Schur complement for the generalized saddle-point system...
journal article 2021
Searched for: author%3A%22Verhaegen%2C+M.H.G.%22
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