Parameter estimation for mechanical systems via an explicit representation of uncertainty
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Publication:2937934
DOI10.1108/02644400910970185zbMath1303.93165OpenAlexW2084122099MaRDI QIDQ2937934
Emmanuel Blanchard, Adrian Sandu, Corina Sandu
Publication date: 13 January 2015
Published in: Engineering Computations (Search for Journal in Brave)
Full work available at URL: https://semanticscholar.org/paper/6fdb7bb4b6a5258a7e9c91643bf2ea5ef7b7201f
estimationmechanical systemspolynomialssystems theoryBayesian statistical decision theoryalgorithmic languages
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Cites Work
- Set membership state and parameter estimation for systems described by nonlinear differential equations
- Realistic and efficient reliability estimation for aerospace structures
- Bayesian parameter estimation and prediction in mean reverting stochastic diffusion models
- An efficient, high-order perturbation approach for flow in random porous media via Karhunen-Loève and polynomial expansions.
- Modeling uncertainty in steady state diffusion problems via generalized polynomial chaos
- Modeling uncertainty in flow simulations via generalized polynomial chaos.
- Modeling multibody systems with uncertainties. II: Numerical applications
- Using Bayesian statistics in the estimation of heat source in radiation
- Parameter estimation for mechanical systems via an explicit representation of uncertainty
- Polynomial Chaos in Stochastic Finite Elements
- MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMS
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- Hybrid estimation of distribution algorithm for global optimization
