文章基本信息

标题：Robust Control Design for Linear Systems via Multiplicative Noise ⁎
本地全文：下载
作者：Benjamin J. Gravell ; Peyman Mohajerin Esfahani ; Tyler H. Summers 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：7392-7399
DOI：10.1016/j.ifacol.2020.12.1268
语种：English
出版社：Elsevier
摘要：AbstractRobust stability and stochastic stability have separately seen intense study in control theory for many decades. In this work we establish relations between these properties for discrete-time systems and employ them for robust control design. Specifically, we examine a multiplicative noise framework which models the inherent uncertainty and variation in the system dynamics which arise in model-based learning control methods such as adaptive control and reinforcement learning. We provide results which guarantee robustness margins in terms of perturbations on the nominal dynamics as well as algorithms which generate maximally robust controllers.
关键词：KeywordsRobust controller synthesisrobust control (linear case)uncertainty descriptionsstochastic systems