Study on robust stability inverse problem for linear systems
, 2014 Most of traditional robust problems focus on developing a robust controller to stabilize the dynamic system when system parameters perturb in certain bounded range.
Li XH(李先宏) +3 more
core
, 2009 In this work we deal with solvability and approximation to the solution of a two-dimensional integral geometry problem for a family of curves of given curvature.
Zekeriya Ustaoglu +2 more
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Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks [PDF]
BioData Min, 2023 Petrica M, Popescu I.
europepmc +2 more sources
Inverse Coefficient Problem for Epidemiological Mean-Field Formulation
MathematicsThe paper proposes an approach to solving the inverse epidemiological problem, written in terms of the “mean-field” theory. Finding the coefficients of an epidemiological SIR mean-field model is reduced to solving an optimization problem, for the ...
Viktoriya Petrakova
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The Solvability Conditions for the Inverse Eigenvalue Problem of Hermitian and Generalized Skew-Hamiltonian Matrices and Its Approximation [PDF]
, 2003 In this paper, we first consider the inverse eigenvalue problem as follows: Find a matrix A with specified eigen-pairs, where A is a Hermitian and generalized skew- Hamiltonian matrix.
白正简, Zheng-jian Bai
core
Inverse Problem for a Curved Quantum Guide
International Journal of Mathematics and Mathematical Sciences, 2012 We consider the Dirichlet Laplacian operator −Δ on a curved quantum guide in ℝ n(n=2,3) with an asymptotically straight reference curve. We give uniqueness results for the inverse problem associated to the reconstruction of the curvature by using either
Laure Cardoulis, Michel Cristofol
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Influence of the Tikhonov Regularization Parameter on the Accuracy of the Inverse Problem in Electrocardiography. [PDF]
Sensors (Basel), 2023 Wang T, Karel J, Bonizzi P, Peeters RLM.
europepmc +1 more source
On the inverse problem of vibro-acoustography. [PDF]
Meccanica, 2023 Kaltenbacher B.
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Bayesian imaging inverse problem with scattering transform
Astronomy & AstrophysicsBayesian imaging inverse problems in astrophysics and cosmology remain challenging, particularly in low-data regimes, due to complex forward operators and the frequent lack of well-motivated priors for non-Gaussian signals.
Pierre Sébastien +4 more
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A General Deep Learning Method for Computing Molecular Parameters of a Viscoelastic Constitutive Model by Solving an Inverse Problem. [PDF]
Polymers (Basel), 2023 Ye M, Fan YQ, Yuan XF.
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