Results 21 to 30 of about 1,879,580 (356)
Indefinite Linear Quadratic Mean Field Social Control Problems With Multiplicative Noise [PDF]
IEEE Transactions on Automatic Control, 2020 This article studies uniform stabilization and social optimality for linear quadratic (LQ) mean field control problems with multiplicative noise, where agents are coupled via dynamics and individual costs.
Bing‐Chang Wang, Huanshui Zhang
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Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm [PDF]
SIAM Journal of Imaging Sciences, 2020 The goal of this paper is to develop a novel numerical method for efficient multiplicative noise removal. The nonlocal self-similarity of natural images implies that the matrices formed by their nonlocal similar patches are low-rank.
Xiaoxia Liu +4 more
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Fractal and Fractional, 2021 In this paper, we consider the stochastic fractional-space Chiral nonlinear Schrödinger equation (S-FS-CNSE) derived via multiplicative noise. We obtain the exact solutions of the S-FS-CNSE by using the Riccati equation method. The obtained solutions are
Wael W. Mohammed +4 more
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Upper semi-continuity of random attractors and existence of invariant measures for nonlocal stochastic Swift–Hohenberg equation with multiplicative noise [PDF]
Journal of Mathematics and Physics, 2020 In this paper, we mainly study the long-time dynamical behaviors of 2D nonlocal stochastic Swift-Hohenberg equations with multiplicative noise from two perspectives.
Jintao Wang +3 more
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A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm
EURASIP Journal on Advances in Signal Processing, 2010 Multiplicative noise removal is of momentous significance in coherent imaging systems and various image processing applications. This paper proposes a new nonconvex variational model for multiplicative noise removal under the Weberized total variation ...
Xiao Liang, Huang Li-Li, Wei Zhi-Hui
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On Multiplicative Noise Models for Stochastic Search [PDF]
, 2008 In this paper we investigate multiplicative noise models in the context of continuous optimization. We illustrate how some intrinsic properties of the noise model imply the failure of reasonable search algorithms for locating the optimum of the noiseless part of the objective function.
Mohamed Jebalia, Anne Auger
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Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data [PDF]
American Control Conference, 2020 The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control.
Yu Xing +4 more
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Collocation Method for Multiplicative Noise Removal Model
Mehran University Research Journal of Engineering and Technology, 2020 Image denoising is a fundamental problem in both image processing and computer vision with numerous applications. It can be formulated as an inverse problem. Variational methods are commonly used to solve noise removal problems.
Mushtaq Ahmad Khan +4 more
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The influence of the noise on the exact solutions of a Kuramoto-Sivashinsky equation
Open Mathematics, 2022 In this article, we take into account the stochastic Kuramoto-Sivashinsky equation forced by multiplicative noise in the Itô sense. To obtain the exact stochastic solutions of the stochastic Kuramoto-Sivashinsky equation, we apply the G′G\frac{{G ...
Albosaily Sahar +4 more
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Ergodic BSDEs with Multiplicative and Degenerate Noise [PDF]
SIAM Journal on Control and Optimization, 2020 In this paper we study an Ergodic Markovian BSDE involving a forward process $X$ that solves an infinite dimensional forward stochastic evolution equation with multiplicative and possibly degenerate diffusion coefficient. A concavity assumption on the driver allows us to avoid the typical quantitative conditions relating the dissipativity of the ...
G. Guatteri, G. Tessitore
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