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New upper and lower bounds, the iteration algorithm for the solution of the discrete algebraic Riccati equation

机译:新的上下限,离散代数Riccati方程解的迭代算法

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In this paper, applying the properties of matrix Schur complement and matrix inverse, via some matrix equalities and inequalities, we present new lower and upper solution bounds of the discrete algebraic Riccati equation. Then, by the compressed image principle and a matrix norm inequality, we offer an existence uniqueness condition and a fixed point iteration algorithm for the solution of the discrete algebraic Riccati equation. Finally, a corresponding numerical example demonstrates the effectiveness of the developed results.
机译:在本文中,通过一些矩阵的等式和不等式,利用矩阵Schur补码和矩阵逆的性质,我们给出了离散代数Riccati方程的新的上下界。然后,通过压缩图像原理和矩阵范数不等式,为离散代数Riccati方程的求解提供了存在唯一性条件和不动点迭代算法。最后,一个相应的数值示例证明了所开发结果的有效性。

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