文章基本信息

标题：Decoupling of Discrete-time Dynamical Systems Through Input-Output Blending
本地全文：下载
作者：Tamás Baár ; Péter Bauer ; Tamas Luspay 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：921-926
DOI：10.1016/j.ifacol.2020.12.856
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a subsystem decoupling method for Linear Time Invariant Discrete-time systems. The aim is to control a selected subsystem, while not affecting the remaining dynamics. The paper extends earlier continuous time results to discrete time systems over a finite frequency interval. Decoupling is achieved by suitable input and output blend vectors, such that they maximize the sensitivity of the selected subsystem, while at the same time they minimize the transfer through the undesired dynamics. The proposed algorithm is based on an optimization problem involving Linear Matrix Inequalities, where the H-index of the controlled subsystem is maximized, while the transfer through the dynamics to be decoupled is minimized by a sparsity like criteria. The present approach has the advantage that it is directly applicable to stable and unstable subsystems also. Numerical examples demonstrate the effectiveness of the method.
关键词：KeywordsDecoupled subsystemsLinear Parameter Varying systemsGeneralized Kalman-Yakubovich-Popov lemmaLinear Matrix Inequality,Minimum SensitivityMode Control