Analysis of the rational Krylov subspace projection method for large-scale algebraic Riccati equations

V Simoncini - SIAM Journal on Matrix Analysis and Applications, 2016 - SIAM
In the numerical solution of the algebraic Riccati equation A^*X+XA-XBB^*X+C^*C=0,
where A is large, sparse, and stable, and B, C have low rank, projection methods have …

[PDF][PDF] Efficient low-rank solution of large-scale matrix equations

P Kürschner - 2016 - pure.mpg.de
In this thesis, we investigate the numerical solution of large-scale, algebraic matrix
equations. The focus lies on numerical methods based on the alternating directions implicit …

A numerical comparison of different solvers for large-scale, continuous-time algebraic Riccati equations and LQR problems

P Benner, Z Bujanovic, P Kurschner, J Saak - SIAM Journal on Scientific …, 2020 - SIAM
In this paper, we discuss numerical methods for solving large-scale continuous-time
algebraic Riccati equations. These methods have been the focus of intensive research in …

Adaptive high-order splitting schemes for large-scale differential Riccati equations

T Stillfjord - Numerical Algorithms, 2018 - Springer
We consider high-order splitting schemes for large-scale differential Riccati equations. Such
equations arise in many different areas and are especially important within the field of …

Low-rank second-order splitting of large-scale differential Riccati equations

T Stillfjord - IEEE Transactions on Automatic Control, 2015 - ieeexplore.ieee.org
We apply first-and second-order splitting schemes to the differential Riccati equation. Such
equations are very important in, eg, linear quadratic regulator (LQR) problems, where they …

RADI: a low-rank ADI-type algorithm for large scale algebraic Riccati equations

P Benner, Z Bujanović, P Kürschner, J Saak - Numerische Mathematik, 2018 - Springer
This paper introduces a new algorithm for solving large-scale continuous-time algebraic
Riccati equations (CARE). The advantage of the new algorithm is in its immediate and …

Rigorous and effective a-posteriori error bounds for nonlinear problems—application to RB methods

A Schmidt, D Wittwar, B Haasdonk - Advances in Computational …, 2020 - Springer
Quantifying the error that is induced by numerical approximation techniques is an important
task in many fields of applied mathematics. Two characteristic properties of error bounds that …

Singular value decay of operator-valued differential Lyapunov and Riccati equations

T Stillfjord - SIAM Journal on Control and Optimization, 2018 - SIAM
We consider operator-valued differential Lyapunov and Riccati equations, where the
operators B and C may be relatively unbounded with respect to A (in the standard notation) …

Reduced basis approximation of large scale parametric algebraic Riccati equations

A Schmidt, B Haasdonk - ESAIM: Control, Optimisation and …, 2018 - esaim-cocv.org
The algebraic Riccati equation (ARE) is a matrix valued quadratic equation with many
important applications in the field of control theory, such as feedback control, state …

Galerkin trial spaces and Davison-Maki methods for the numerical solution of differential Riccati equations

M Behr, P Benner, J Heiland - Applied Mathematics and Computation, 2021 - Elsevier
The differential Riccati equation appears in different fields of applied mathematics like
control and system theory. Recently, Galerkin methods based on Krylov subspaces were …