Abstract
By introducing a relaxation parameter, we derive a relaxed gradient based iterative algorithm for solving Sylvester equations. Theoretical analysis shows that the new method converges under certain assumptions. Comparisons are performed with the original algorithm, and results show that the new method exhibits fast convergence behavior with a wide range of relaxation parameters.
Original language | English |
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Pages (from-to) | 461-464 |
Number of pages | 4 |
Journal | Asian Journal of Control |
Volume | 13 |
Issue number | 3 |
DOIs | |
Publication status | Published - May 2011 |
Keywords
- Iterative method
- Relaxation parameter
- Sylvester equation