Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems
From MaRDI portal
Publication:450725
DOI10.1016/j.sysconle.2011.10.012zbMath1256.93030OpenAlexW2079735689MaRDI QIDQ450725
J. Herrera, D. Rodríguez-Gómez
Publication date: 14 September 2012
Published in: Systems \& Control Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sysconle.2011.10.012
model reductionkernel methodsnonlinear dynamical systemsa-posteriori error estimatesefficient online computationLipschitz constant estimationoffline/online decompositionsubspace projection
Related Items (4)
Error estimation of the parametric non-intrusive reduced order model using machine learning ⋮ A unified framework for differential aggregations in Markovian process algebra ⋮ Guaranteed error bounds for structured complexity reduction of biochemical networks ⋮ 9 Kernel methods for surrogate modeling
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Balancing for nonlinear systems
- Empirical balanced truncation of nonlinear systems
- Approximate reduction of dynamic systems
- Kernel based approximation in Sobolev spaces with radial basis functions
- Efficient model reduction in nonlinear dynamics using the Karhunen-Loève expansion and dual-weighted-residual methods
- Principal component analysis.
- Reduced Basis Approximation for Nonlinear Parametrized Evolution Equations based on Empirical Operator Interpolation
- Krylov-Subspace Based Model Reduction of Nonlinear Circuit Models Using Bilinear and Quadratic-Linear Approximations
- Efficient reduced models anda posteriorierror estimation for parametrized dynamical systems by offline/online decomposition
- Numerical Linear Algebra for Model Reduction in Control and Simulation
- Principal component analysis in linear systems: Controllability, observability, and model reduction
- A subspace approach to balanced truncation for model reduction of nonlinear control systems
- Balanced Truncation of Linear Time-Varying Systems
- Model order reduction and error estimation with an application to the parameter-dependent eddy current equation
- Proper orthogonal decomposition for optimality systems
- Approximation of Large-Scale Dynamical Systems
- Theory of Reproducing Kernels
- Scattered Data Approximation
This page was built for publication: Efficient a-posteriori error estimation for nonlinear kernel-based reduced systems