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An optimal LQ-feedback is computed via the solution of a matrix Riccati partial differential equation.
A state LQ-feedback operator is computed via the solution of a matrix Riccati differential equation in the space variable.
The control design is based on the Inverse Optimal Design approach, through the solution of a matrix Stein equation, resulting in the solution of an optimal H∞ control problem.
In recent years, Banach's theorem was extended in part to partially ordered metric spaces by Ran and Reuring [16] in order to obtain a solution of a matrix equation.
If (N_{c} = 0) the scheme is termed explicit, while compact schemes (also known as implicit or Padé schemes), by contrast, have (N_{c} neq0) and require the solution of a matrix equation to determine the derivatives along a grid line.
Firstly, two solutions are prepared: one is a solution of the poorly water-soluble drug in tertiary butyl alcohol (TBA) and the other is a solution of a matrix material in water.
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-monogenic functions then are the null solutions of a matrix Dirac operator, having these Hermitean Dirac operators as its entries; such matrix functions play an important role in the function theoretic development of Hermitean Clifford analysis.
In general, 2-D FEM calculations, i.e., solutions of a matrix equation are obtained in terms of either electric or magnetic fields, which correspond to TE and TM mode solutions, respectively.
-monogenic functions then are the null solutions of a matrix Dirac operator, having these Hermitean Dirac operators as its entries; such functions have been crucial for the development of function theoretic results in the Hermitean Clifford context.
Then, the same idea is in turn applied to extend the solution of a reduced matrix eigen-decomposition problem to approximate the eigenvectors of an SPSD matrix.
The solvability of this problem is first related to the existence of bounded solutions to a matrix differential regulator equation subject to an asymptotic norm constraint.
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Justyna Jupowicz-Kozak
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