On the Convergence of the Accelerated Riccati Iteration Method

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Rajasingam, Prasanthan, Xu, Jianhong
Formato: Preprint
Publicado: 2017
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866917354976313344
author Rajasingam, Prasanthan
Xu, Jianhong
author_facet Rajasingam, Prasanthan
Xu, Jianhong
contents In this paper, we establish results fully addressing two open problems proposed recently by I. Ivanov, see Nonlinear Analysis 69 (2008) 4012--4024, with respect to the convergence of the accelerated Riccati iteration method for solving the continuous coupled algebraic Riccati equation, or CCARE for short. These results confirm several desirable features of that method, including the monotonicity and boundedness of the sequences it produces, its capability of determining whether the CCARE has a solution, the extremal solutions it computes under certain circumstances, and its faster convergence than the regular Riccati iteration method.
format Preprint
id arxiv_https___arxiv_org_abs_1705_07748
institution arXiv
publishDate 2017
record_format arxiv
spellingShingle On the Convergence of the Accelerated Riccati Iteration Method
Rajasingam, Prasanthan
Xu, Jianhong
Optimization and Control
In this paper, we establish results fully addressing two open problems proposed recently by I. Ivanov, see Nonlinear Analysis 69 (2008) 4012--4024, with respect to the convergence of the accelerated Riccati iteration method for solving the continuous coupled algebraic Riccati equation, or CCARE for short. These results confirm several desirable features of that method, including the monotonicity and boundedness of the sequences it produces, its capability of determining whether the CCARE has a solution, the extremal solutions it computes under certain circumstances, and its faster convergence than the regular Riccati iteration method.
title On the Convergence of the Accelerated Riccati Iteration Method
topic Optimization and Control
url https://arxiv.org/abs/1705.07748