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Solving the algebraic Riccati equation with the matrix sign function. (English) Zbl 0611.65027
The algebraic Riccati equation $$G+A^ TX+XA-XFX=0$$ is reduced to a linear matrix equation of the form $$MX=N$$ where the matrices M and N are defined by the sign function, Sign(K), of the Hamiltonian matrix $$K=\left[ \begin{matrix} A^ T\quad G\\ F\quad -A\end{matrix} \right]$$. An iterative refinement of the matrix-sign-function algorithm and a stopping criterion limiting the effects of rounding errors lead to a stable numerical procedure which compares favorably with current Schur vector- based algorithms [A. Laub, IEEE Trans. Autom. Control AC-24, 913- 921 (1979; Zbl 0424.65013)]. Comparative numerical experiments on three examples are also presented.
Reviewer: S.Mirica

##### MSC:
 65F30 Other matrix algorithms (MSC2010) 15A24 Matrix equations and identities
LINPACK
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##### References:
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