Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method

doi:10.1007/s11633-019-1205-8

CASIA OpenIR > 学术期刊 > Machine Intelligence Research

	Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method
	Fernando Agustín Pazos 1; Anibal Zanini 2; Amit Bhaya 3
发表期刊	International Journal of Automation and Computing
ISSN	1476-8186
	2020
卷号	17 期号:3 页码:453-463
摘要	Methods to stabilize discrete-time linear control systems subject to variable sampling rates, i.e., using state feedback controllers, are well known in the literature. Several recent works address the use of the Tikhonov regularization method, originally designed to attenuate the noise effects on ill-posed problems, with the aim of improving performance and stabilizing approximately controllable dynamical systems. Inspired by these works, we propose the use of a feedback controller designed using the Tikhonov method to regularize discrete-time linear systems subject to varying sampling rates. The goal is to minimize an error function, thus improving the performance of the closed loop system and reducing the possibility of instability. Illustrative examples show the effectiveness of the proposed method.
关键词	Discrete-time switched systems Tikhonov regularization varying sampling rates discrete-time control systems networked control systems.
DOI	10.1007/s11633-019-1205-8
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/42293
专题	学术期刊_Machine Intelligence Research
作者单位	1.Department of Electronics and Telecommunication Engineering, State University of Rio de Janeiro, Rua São Fransciso Xavier 524, Rio de Janeiro 20550-900, Brazil 2.Universidad de Buenos Aires - ITHES-UBA- CONICET, Departamento de Ingeniería Química, Pabellón de Industrias, Ciudad Universitaria, Buenos Aires C1428EGA, Argentina 3.Department of Electrical Engineering, Federal University of Rio de Janeiro, PEE/COPPE/UFRJ, Rio de Janeiro 21945-970, Brazil
推荐引用方式 GB/T 7714	Fernando Agustín Pazos,Anibal Zanini,Amit Bhaya. Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method[J]. International Journal of Automation and Computing,2020,17(3):453-463.
APA	Fernando Agustín Pazos,Anibal Zanini,&Amit Bhaya.(2020).Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method.International Journal of Automation and Computing,17(3),453-463.
MLA	Fernando Agustín Pazos,et al."Performance Improvement of Discrete-time Linear Control Systems Subject to Varying Sampling Rates Using the Tikhonov Regularization Method".International Journal of Automation and Computing 17.3(2020):453-463.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
IJAC-2019-07-152.pdf（1501KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览下载