A tangential method for the balanced truncation in model reduction
From MaRDI portal
Publication:2290922
DOI10.1007/s11075-019-00696-9zbMath1433.65077OpenAlexW2940059180MaRDI QIDQ2290922
Publication date: 29 January 2020
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11075-019-00696-9
Related Items (1)
Uses Software
Cites Work
- Adaptive rational interpolation: Arnoldi and Lanczos-like equations
- Adaptive rational Krylov subspaces for large-scale dynamical systems
- Matrix Krylov subspace methods for large scale model reduction problems
- Large-scale matrix computations in control
- A computational global tangential Krylov subspace method for model reduction of large-scale MIMO dynamical systems
- Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems
- Adaptive Tangential Interpolation in Rational Krylov Subspaces for MIMO Dynamical Systems
- $\mathcal{H}_2$-Optimal Model Reduction with Higher-Order Poles
- All optimal Hankel-norm approximations of linear multivariable systems and theirL,∞-error bounds†
- Numerical solution of large‐scale Lyapunov equations, Riccati equations, and linear‐quadratic optimal control problems
- Principal component analysis in linear systems: Controllability, observability, and model reduction
- A Characterization of All Solutions to the Four Block General Distance Problem
- A Schur method for balanced-truncation model reduction
- Krylov Subspace Methods for Solving Large Lyapunov Equations
- A Survey of Model Reduction by Balanced Truncation and Some New Results
- Approximation of Large-Scale Dynamical Systems
This page was built for publication: A tangential method for the balanced truncation in model reduction
