The Lyapunov matrix equation SA+A∗S=S∗B∗BS-Reference-Cited by-同舟云学术

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The Lyapunov matrix equation SA+A∗S=S∗B∗BS

Published:1979-12 Issue: Volume:28 Page:43-52
ISSN:0024-3795
Container-title:Linear Algebra and its Applications
language:en
Short-container-title:Linear Algebra and its Applications

Author:

Carlson David H.,Datta Biswa Nath

Publisher

Elsevier BV

Subject

Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory

Reference15 articles.

1. D. Carlson and B.N. Datta, On the effective computation of the inertia of a nonhermitian matrix, submitted for publication.

2. D. Carlson and B.N. Datta, Controllability, inertia and the root-location problem, submitted for publication.

3. On ranges of Lyapunov transformations;Carlson;Linear Algebra and Appl.,1974

4. Inertia theorems for matrices: the semidefinite case;Carlson;J. Math. Anal. Appl.,1963

5. A generalization of the inertia theorem;Chen;SIAM J. Appl. Math.,1973

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1. Unifying Matrix Stability Concepts with a View to Applications;SIAM Review;2019-01

2. STABILITY, INERTIA, AND ROBUST STABILITY;Numerical Methods for Linear Control Systems;2004

3. Stability and inertia;Linear Algebra and its Applications;1999-12

4. The explicit solution of the matrix equation AX−XB=C;Applied Mathematics and Mechanics;1995-12

5. On the Controllability of Matrix Pairs $( A, K )$ with K Positive Semidefinite, II;SIAM Journal on Matrix Analysis and Applications;1994-01

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