Pages that link to "Item:Q2041060"
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The following pages link to Iterative algorithms for discrete-time periodic Sylvester matrix equations and its application in antilinear periodic system (Q2041060):
Displaying 14 items.
- An iterative algorithm for periodic Sylvester matrix equations (Q1716953) (← links)
- Gradient based approach for generalized discrete-time periodic coupled Sylvester matrix equations (Q1797207) (← links)
- A finite iterative algorithm for the general discrete-time periodic Sylvester matrix equations (Q2148460) (← links)
- A Numerical Approach To Generalized Periodic Sylvester Matrix Equation (Q5213945) (← links)
- A parametric poles assignment algorithm for high-order linear discrete periodic systems (Q6082827) (← links)
- Block-row and block-column iterative algorithms for solving linear matrix equation (Q6103363) (← links)
- Cyclic gradient based iterative algorithm for a class of generalized coupled Sylvester-conjugate matrix equations (Q6168996) (← links)
- Iterative method for constrained systems of conjugate transpose matrix equations (Q6546904) (← links)
- A shift-splitting Jacobi-gradient iterative algorithm for solving the matrix equation \(A \mathcal{V} - \overline{\mathcal{V}} B = C\) (Q6585846) (← links)
- A randomized block Douglas-Rachford method for solving linear matrix equation (Q6592872) (← links)
- Iterative algorithms for the generalized discrete-time periodic Sylvester transpose matrix equations with application in the periodic state observer design of linear systems (Q6617560) (← links)
- Iterative algorithm to the generalized coupled Sylvester-transpose matrix equations with application in robust and minimum norm observer design of linear systems (Q6631752) (← links)
- Modified and accelerated relaxed gradient-based iterative algorithms for the complex conjugate and transpose matrix equations (Q6653277) (← links)
- Improved modified gradient-based iterative algorithm and its relaxed version for the complex conjugate and transpose Sylvester matrix equations (Q6653823) (← links)