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A finite frequency approach to filter design for uncertain discrete‐time systems
Author(s) -
Wang Heng,
Yang GuangHong
Publication year - 2008
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.998
Subject(s) - lemma (botany) , control theory (sociology) , frequency domain , filter design , kalman filter , filter (signal processing) , finite set , discrete time and continuous time , mathematics , linear system , computer science , mathematical optimization , mathematical analysis , ecology , statistics , poaceae , control (management) , artificial intelligence , computer vision , biology
This paper studies the problem of finite frequency filter design for linear time‐invariant discrete‐time systems with polytopic uncertainties. Generalized Kalman–Yakubovich–Popov lemma is exploited to formulate the filter design problem in finite frequency domain. A design method is presented in terms of solutions to a set of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed method. Copyright © 2007 John Wiley & Sons, Ltd.

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