2017
DOI: 10.1007/s11075-017-0458-y
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Numerical solutions to large-scale differential Lyapunov matrix equations

Abstract: Abstract. In the present paper, we consider large-scale differential Lyapunov matrix equations having a low rank constant term. We present two new approaches for the numerical resolution of such differential matrix equations. The first approach is based on the integral expression of the exact solution and an approximation method for the computation of the exponential of a matrix times a block of vectors. In the second approach, we first project the initial problem onto a block (or extended block) Krylov subspa… Show more

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Cited by 18 publications
(19 citation statements)
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“…This is in a form known as the continuous Lyapunov equation, a type of linear equations which can be computed by a well-known algorithm (36)(37)(38). After solving Eq.…”
Section: Near-stationary Statesmentioning
confidence: 99%
See 1 more Smart Citation
“…This is in a form known as the continuous Lyapunov equation, a type of linear equations which can be computed by a well-known algorithm (36)(37)(38). After solving Eq.…”
Section: Near-stationary Statesmentioning
confidence: 99%
“…22, which is solved numerically by a standard routine in MatLab © , X = lyap(A, Q). This routine solves the continuous Lyapunov equation (37,38), AX + XA T + Q = 0. When formatting the codes, special care must be taken with the 1/L weight associated with the product of two matrices in Eq.…”
Section: Fourier Transform and Numerical Analysismentioning
confidence: 99%
“…Balanced truncation requires solving matrix equations. Developing efficient approximate numerical algorithms for large matrix equations remains an active area of research 15‐19 . To avoid the high cost of balanced truncation, POD‐based 5,20‐25 and balanced POD (BPOD) 7,26 reduction methods are often used.…”
Section: Introductionmentioning
confidence: 99%
“…Developing efficient approximate numerical algorithms for large matrix equations remains an active area of research. [15][16][17][18][19] To avoid the high cost of balanced truncation, POD-based 5,[20][21][22][23][24][25] and balanced POD (BPOD) 7,26 reduction methods are often used. These approximate methods, however, in general lack the stability guarantee of balanced truncation, although a variety of heuristics methods are available to improve the stability properties of the ROMs.…”
Section: Introductionmentioning
confidence: 99%
“…Differential symmetric Stein equations (DSSE in short) have a fundamental role in linear control and filtering theory for discrete‐time large‐scale dynamical systems and other problems, see previous studies for more details. Recently, large‐scale differential matrix equations have drawn a great deal of attention, and some numerical approaches (projection methods) and splitting method have been proposed. The matrix Equation is also referred to as a discrete‐time Lyapunov equation.…”
Section: Introductionmentioning
confidence: 99%