A linear, robust and convergent interpolatory algorithm for quantifying model uncertainties
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Publication:1184282
DOI10.1016/0167-6911(92)90002-AzbMath0743.93060MaRDI QIDQ1184282
Publication date: 28 June 1992
Published in: Systems \& Control Letters (Search for Journal in Brave)
Cites Work
- A course in \(H_{\infty}\) control theory
- Constructions of unitals in Desarguesian planes
- A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models
- Multivariable feedback design: Concepts for a classical/modern synthesis
- Adaptive quantification of model uncertainties by rational approximation
- The Rapidity of Convergence of the Hermite-Fejer Approximation to Functions of One or Several Variables
- On the Maximum Errors of Polynomial Approximations Defined by Interpolation and by Least Squares Criteria
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