February 2025
·
32 Reads
Journal de Mathématiques Pures et Appliquées
This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.
February 2025
·
32 Reads
Journal de Mathématiques Pures et Appliquées
January 2025
·
6 Reads
·
1 Citation
SIAM Journal on Scientific Computing
August 2023
·
89 Reads
A quantitative frequency-domain condition related to the exponential stabilizability for infinite-dimensional linear control systems is presented. It is proven that this condition is necessary and sufficient for the stabilizability of special systems, while it is a necessary condition for the stabilizability in general. Applications are provided.
June 2023
·
15 Reads
·
4 Citations
SIAM Journal on Control and Optimization
May 2023
·
66 Reads
·
1 Citation
Lecture Notes in Computer Science
Isolating different types of motion in video data is a highly relevant problem in video analysis. Applications can be found, for example, in dynamic medical or biological imaging, where the analysis and further processing of the dynamics of interest is often complicated by additional, unwanted dynamics, such as motion of the measurement subject. In this work, it is empirically shown that a representation of video data via untrained generator networks, together with a specific technique for latent space disentanglement that uses minimal, one-dimensional information on some of the underlying dynamics, allows to efficiently isolate different, highly non-linear motion types. In particular, such a representation allows to freeze any selection of motion types, and to obtain accurate independent representations of other dynamics of interest. Obtaining such a representation does not require any pre-training on a training data set, i.e., all parameters of the generator network are learned directly from a single video.KeywordsIsolation of motiongenerator networksdeep image priorlatent-space disentanglementmagnetic resonance imaging
May 2022
·
122 Reads
In this paper, a nonlinear approach to separate different motion types in video data is proposed. This is particularly relevant in dynamic medical imaging (e.g. PET, MRI), where patient motion poses a significant challenge due to its effects on the image reconstruction as well as for its subsequent interpretation. Here, a new method is proposed where dynamic images are represented as the forward mapping of a sequence of latent variables via a generator neural network. The latent variables are structured so that temporal variations in the data are represented via dynamic latent variables, which are independent of static latent variables characterizing the general structure of the frames. In particular, different kinds of motion are also characterized independently of each other via latent space disentanglement using one-dimensional prior information on all but one of the motion types. This representation allows to freeze any selection of motion types, and to obtain accurate independent representations of other dynamics of interest. Moreover, the proposed algorithm is training-free, i.e., all the network parameters are learned directly from a single video. We illustrate the performance of this method on phantom and real-data MRI examples, where we successfully separate respiratory and cardiac motion.
May 2021
·
61 Reads
·
6 Citations
ESAIM Control Optimisation and Calculus of Variations
Existence and uniqueness of solutions to the Navier-Stokes equation in dimension two with forces in the space L^q( (0,T); \bWmop) for p and q in appropriate parameter ranges are proven. The case of spatially measured-valued inhomogeneities is included. For the associated Stokes equation the well-posedness results are verified in arbitrary dimensions with arbitrary.
May 2021
·
156 Reads
·
114 Citations
SIAM Journal on Scientific Computing
November 2019
·
46 Reads
·
8 Citations
A fluid-structure interaction model with discrete and distributed delays in the structural damping is studied. The fluid and structure dynamics are governed by the Navier-Stokes and linear elasticity equations, respectively. Due to the presence of delay, a crucial ingredient of the weak formulation is the use of hidden boundary regularity for transport equations. In two space dimension, it is shown that weak solutions are unique. For smooth and compatible data, we establish the existence of the pressure and by applying micro-local analysis, further regularity of the solutions are available. Finally, the exponential stability of the system is obtained through an appropriate Lyapunov functional.
February 2019
·
100 Reads
The value function associated with an optimal control problem subject to the Navier-Stokes equations in dimension two is analyzed. Its smoothness is established around a steady state, moreover, its derivatives are shown to satisfy a Riccati equation at the order two and generalized Lyapunov equations at the higher orders. An approximation of the optimal feedback law is then derived from the Taylor expansion of the value function. A convergence rate for the resulting controls and closed-loop systems is demonstrated.
... In particular a lack of equivalence with the stochastic interpretation is shown. In [8] a proof of well-posedness is given that drops the assumption of global Lipschitz continuity and in turn yields local results and [7] proposes a numerical realization based on a polynomial approximation of the value function. ...
January 2025
SIAM Journal on Scientific Computing
... mean field games with multiple solutions [7], or mean-field game models for systemic risk [89]. Moreover, the impact of the proposed methodology expands well beyond the realm of physical multiagent systems to problems in computational statistics, where there is interest in accelerating convergence to the target distribution for Fokker-Planck dynamics in applications related to sampling from probability measures in high dimensions [27,28,90]. ...
June 2023
SIAM Journal on Control and Optimization
... For instance, if f ∈ L 1 ((0, T ); L 2 (Ω; R 2 )) + L 2 ((0, T ); W −1,2 (Ω; R 2 )) then for any sufficiently regular v 0 there exists a unique so-called strong solution v of (1.1) with v(·, 0) = v 0 inter alia belonging to L 4 (Ω × (0, T ); R 2 ) [30, Theorem 4.2.1], and further well-posedness results for f ∈ L r ((0, T ); W −1,q (Ω; R 2 )) have been obtained in [3] for other choices of r and q as well. Moreover, [44, Proposition 1.1 and Proposition 1 .3] ...
May 2021
ESAIM Control Optimisation and Calculus of Variations
... While traditional methods like those in [62] and [63] emphasize computational efficiency and stability through finite difference and volume methods, the proposed approach offers a novel perspective by integrating the Bellman dynamic programming principle with nonlinear minimization techniques [64]. Additionally, unlike the tensor decomposition and deep learning methods that address high-dimensional challenges [65,66], the proposed method provides a more direct computational strategy for nonlinear problems, potentially offering more precise control solutions under certain smooth assumptions. The proposed approach complements existing works by providing an alternative pathway to achieving optimal feedback control, particularly in scenarios where traditional numerical methods may face limitations. ...
May 2021
SIAM Journal on Scientific Computing
... • Another aspect of the problem for consideration is the numerical approximation of the compensator system in line with past work in [16,18]. For discretization of a fluid structure interactions see [20,21]. ...
November 2019
... For example, in Manenti's [6] work, FSI simulation was used to simulate the effect of waves on floating offshore wind turbines. Several other FSI studies have also been done on the wind turbine [7][8][9][10][11]. Another example of FSI simulation implementation is the simulation of a parachute [12]. ...
November 2018
IMA Journal of Numerical Analysis
... Variational-hemivariational inequalities represent a special class of inequality problems which have both a convex and nonconvex structure. They have been intensively studied in the last decades as shown in [13,22,24,26,28,29,31] and the references therein. The penalty method we introduce in the current paper is new since, at the best of our knowledge, the penalty problems of (1) studied in the literature are in a form of variational inequality governed by a penalty operator and the main ingredients used there are based on pseudomonotonicity arguments. ...
July 2018
Journal of Optimization Theory and Applications
... Time delay systems represent one among the foremost in style categories of systems. Time delay, whether occurring in the system state, the control input, or the gauge, is often inescapable in practical systems and can be a source of instability and poor performance [5][6][7][8][9][10][11][12]. The future development of the system state of a time delay system consists not only of its current value, but also on its past values [13][14][15][16][17][18][19][20][21]. ...
June 2018
Discrete and Continuous Dynamical Systems
... In addition, they proposed a numerical method based on a Newton type iteration and used it to solve coherent control problems. Friesecke et al [18] proposed a new class of cost functionals for the optimal control of quantum systems which result in controls with a sparse time-frequency structure. The theory and numerical solution of optimal control problems governed by a time-dependent Kohn-Sham model are investigated in [45,46]. ...
March 2018
Mathematical Control and Related Fields
... This includes for example denoising in image processing [14,25,44,45]. However, total variation regularization is also of great interest in terms of optimal control, see for instance [9,11,18,38], also in combination with integrality restrictions [39,40,41]. ...
January 2017
SIAM Journal on Control and Optimization