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Iterative Refinement Procedure for Solutions to Algebraic Riccati Equations

机译:代数Riccati方程解的迭代细化程序

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This paper presents an algorithm for the iterative refinement of matrix solutions for the algebraic Riccati equation in both the continuous and discrete-time cases. It is based on Newton's method for root-finding and extended using the Fréchet derivative framework. The improvement brought by the paper is in considering the complete structure of the algebraic Riccati equations, which typically consider the input-state dependency matrix to be zero. This approach is reasonable for computing linear quadratic regulators and estimators, but must be treated in the field of Robust Control, as the algebraic Riccati equations which arise in H2/H synthesis methods have the complete structure. Numerical results are also presented and it is shown that the method brings important improvements, in particular for ill-conditioned problems, i.e. when the system controllability is ill-conditioned.
机译:本文提出了一种在连续时间和离散时间情况下,迭代求解代数Riccati方程矩阵解的算法。它基于牛顿的求根方法,并使用Fréchet派生框架进行了扩展。本文带来的改进是考虑了代数Riccati方程的完整结构,该方程通常认为输入状态相关性矩阵为零。这种方法对于计算线性二次调节器和估计器是合理的,但是必须在鲁棒控制领域中加以处理,因为在H中出现了代数Riccati方程。 2 /H 合成方法具有完整的结构。还给出了数值结果,并且表明该方法带来了重要的改进,特别是对于不适的问题,即当系统的可控制性处于不适的情况时。

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