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自动化与信息科学期刊
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN 打印: 1064-2315
ISSN 在线: 2163-9337

卷:
卷 51, 2019 卷 50, 2018 卷 49, 2017 卷 48, 2016 卷 47, 2015 卷 46, 2014 卷 45, 2013 卷 44, 2012 卷 43, 2011 卷 42, 2010 卷 41, 2009 卷 40, 2008 卷 39, 2007 卷 38, 2006 卷 37, 2005 卷 36, 2004 卷 35, 2003 卷 34, 2002 卷 33, 2001 卷 32, 2000 卷 31, 1999 卷 30, 1998 卷 29, 1997 卷 28, 1996

自动化与信息科学期刊

DOI: 10.1615/JAutomatInfScien.v36.i3.30
pages 25-34

Multi-Model Approach to Parametric Robust Optimization of Digital Flight Control Systems

Anatoliy A. Tunik
Institute of Electronics and Control Systems of National Aviation University, Kiev, Ukraine
Elena A. Abramovich
National Aviation University, Kiev, Ukraine

ABSTRACT

We propose the method to achieve a compromise between the robustness and control system performance for nominal and parametrically disturbed models of an object in determinate and stochastic cases. For solving this problem the multi-model H2/H-approach of robust optimization is used. Development of this approach to a discrete model is a new result of this paper. An example of the use of the H2/H-approach while robust optimization of the lateral of UAV (unmanned aerial vehicle) is given.


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