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

Open Access
Original Paper


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 optimal control. In the large-scale case, it is critical to employ structural properties of the matrix-valued solution, or the computational cost and storage requirements become infeasible. Our main contribution is therefore to formulate these high-order splitting schemes in an efficient way by utilizing a low-rank factorization. Previous results indicated that this was impossible for methods of order higher than 2, but our new approach overcomes these difficulties. In addition, we demonstrate that the proposed methods contain natural embedded error estimates. These may be used, e.g., for time step adaptivity, and our numerical experiments in this direction show promising results.


Differential Riccati equations Large-scale Splitting schemes High order Adaptivity 

Mathematics Subject Classification (2010)

15A24 49N10 65L05 93A15 


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Authors and Affiliations

  1. 1.Mathematical SciencesChalmers University of Technology and the University of GothenburgGöteborgSweden

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