Approximate solutions to large nonsymmetric differential Riccati problems with applications to transport theory
This work provides an efficient numerical method for solving large-scale nonsymmetric differential Riccati equations arising in control theory, transport theory, and applied probability.
The paper applies Krylov-type methods (extended block Arnoldi) to obtain low-rank approximate solutions for large-scale nonsymmetric differential Riccati equations, demonstrating their effectiveness on transport theory problems with numerical experiments.
In the present paper, we consider large scale nonsymmetric differential matrix Riccati equations with low rank right hand sides. These matrix equations appear in many applications such as control theory, transport theory, applied probability and others. We show how to apply Krylov-type methods such as the extended block Arnoldi algorithm to get low rank approximate solutions. The initial problem is projected onto small subspaces to get low dimensional nonsymmetric differential equations that are solved using the exponential approximation or via other integration schemes such as Backward Differentiation Formula (BDF) or Rosenbrok method. We also show how these technique could be easily used to solve some problems from the well known transport equation. Some numerical experiments are given to illustrate the application of the proposed methods to large-scale problems