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Identification and Inverse Torque Control of Hydrodynamic Dynamometers
IEEE Transactions on Control Systems Technology, 2014Hydrodynamic dynamometers are employed in internal combustion engine (ICE) test benches for the entire range of ICEs, from cart engines to large ship engines. They are inexpensive and characterized by a relatively small moment of inertia. Although nonlinearities and the absence of accurate models make controlling these dynamometers a difficult task ...
Thomas E. Passenbrunner +3 more
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Complex Stiffness Identification by Inverse Methods
2002The basic principle of an inverse method for material stiffness identification is to compare measured values of a test specimen with computed values from a numerical model of the test specimen. The parameters in the numerical model are the unknown material stiffness properties and they are iteratively updated starting from an initial set of parameters ...
Sol, Hugo, De Wilde, Willy
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Lithology identification by AVO inversion
SEG Technical Program Expanded Abstracts 1995, 1995A stratigraphic elastic inversion scheme has been applied The main assumptions in the present scheme are: (i) The to two data sets from the ‘Troll East field. The objective of model is locally close to horizontally layered (i.e. the model the present work is to obtain estimates of Pand Swave layers exhibit small dips and small lateral velocity ...
Arild Buland +4 more
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Identification of tertiary sulfonamides as RORc inverse agonists
Bioorganic & Medicinal Chemistry Letters, 2014Screening a nuclear receptor compound subset in a RORc biochemical binding assay revealed a benzylic tertiary sulfonamide hit. Herein, we describe the identification of compounds with improved RORc biochemical inverse agonist activity and cellular potencies.
Benjamin P, Fauber +10 more
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Identification of an underwater target by acoustic inverse scattering
International Conference on Acoustics, Speech, and Signal Processing, 2003Statistical mathematical models arising from the acoustic scattering of an underwater object are derived. Global and local models that are obtained by the singularity expansion method are considered. A parametric inverse problem is formulated on the basis of ARMAX models.
Giorgio Tacconi, Antonio Tiano
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Inverse Problems for Identification of Memory Kernels in Viscoelasticity
Mathematical Methods in the Applied Sciences, 1997Let \(D\) be a bounded (smooth) domain in \(\mathbb{R}^n\) with an outer normal vector \(\nu\) relative to its boundary \(\partial D\). Moreover, let \(T\in\mathbb{R}_+\) and \(\alpha\in\mathbb{R}\) be fixed and let \(\rho\), \(\beta\) be given positive continuous functions on \(\overline D\), while \(\gamma\) is a given element in \(C(\overline Q ...
Janno, J., von Wolfersdorf, Lothar
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Soliton Solutions as Inverse Problem for Coefficient Identification
2014We construct an algorithm to investigate numerically non-symmetric solitary wave-like solutions of an ordinary nonlinear differential equation. We reformulate the bifurcation problem, introducing a new parameter; and in such a way we expel the trivial solution of the original problem.
Tchavdar T. Marinov +1 more
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An Elastic‐Plastic Material Inverse Identification Problem
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 1988AbstractThe inverse elastic‐plastic problem based on the theory of small elastic‐plastic deformations for the identification experiment on the thick‐walled cylinder is formulated mathematically. The input parameters are radial and tangential strains measured experimentally. For the solution the numerical one step Runge‐Kutta method is applied.
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Inverse source identification for Poisson equation
Inverse Problems in Science and Engineering, 2005A numerical method for identifying the unknown point sources for a two-dimensional Poisson problem from Dirichlet boundary data is proposed. Under an assumption that the total number and estimate positions of the point sources are known, the exact positions and corresponding strengths of the distinct point sources can be identified from scattered ...
Leevan Ling, Y. C. Hon, M. Yamamoto
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Cable tension identification via nonlinear static inverse problem
Structural Health Monitoring, 2021Walter Lacarbonara +2 more
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