Four extremal solutions of discrete-time algebraic Riccati equations: existence theorems and computation

IF 0.7 4区 数学 Q3 MATHEMATICS, APPLIED
Chun-Yueh Chiang, Hung-Yuan Fan
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引用次数: 0

Abstract

Algebraic Riccati equations (AREs) have been extensively applied in linear optimal control problems and many efficient numerical methods were developed. The stabilizing (or almost stabilizing) solution that all eigenvalues of its closed-loop matrix are contained in the open (or closed) unit disk of the complex plane has attracted the most attention among all Hermitian solutions of the ARE in the past works. Nevertheless, it is an interesting and challenging issue in finding the extremal solutions of AREs which play an important role in the applications. The contribution of this paper is twofold. Firstly, the existence of these extremal solutions is established under the framework of fixed-point iteration. Secondly, an accelerated fixed-point iteration (AFPI) based on the semigroup property is developed for computing four extremal solutions of the discrete-time algebraic Riccati equation, which has not appeared in the existing literature. In addition, we prove that the convergence of the AFPI is at least R-suplinear with order \(r>1\) under some mild assumptions. Numerical examples are shown to illustrate the feasibility and accuracy of the proposed algorithm.

Abstract Image

离散时间代数里卡提方程的四个极值解:存在定理与计算
代数里卡提方程(AREs)已被广泛应用于线性优化控制问题,并开发出许多高效的数值方法。在过去的研究中,闭环矩阵的所有特征值都包含在复平面的开放(或封闭)单位盘中的稳定(或近似稳定)解是所有 ARE 赫米解中最受关注的。尽管如此,寻找 ARE 的极值解仍是一个有趣且具有挑战性的问题,因为极值解在应用中发挥着重要作用。本文的贡献有两方面。首先,本文在定点迭代框架下确定了这些极值解的存在性。其次,本文基于半群性质开发了一种加速定点迭代(AFPI)方法,用于计算离散时间代数 Riccati 方程的四个极值解,这在现有文献中尚未出现。此外,我们还证明了在一些温和的假设条件下,AFPI 的收敛性至少是阶(r>1\)为 R 的超线性。我们用数值示例说明了所提算法的可行性和准确性。
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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
56
审稿时长
>12 weeks
期刊介绍: Japan Journal of Industrial and Applied Mathematics (JJIAM) is intended to provide an international forum for the expression of new ideas, as well as a site for the presentation of original research in various fields of the mathematical sciences. Consequently the most welcome types of articles are those which provide new insights into and methods for mathematical structures of various phenomena in the natural, social and industrial sciences, those which link real-world phenomena and mathematics through modeling and analysis, and those which impact the development of the mathematical sciences. The scope of the journal covers applied mathematical analysis, computational techniques and industrial mathematics.
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