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Variable-structure algorithm for identification of quasi-periodically varying systems

Abstract

The paper presents a variable-structure version of a generalized notchfiltering (GANF) algorithm. Generalized notch filters are used for identification of quasi-periodically varying dynamic systems and can be considered an extension, to the system case, of classical adaptive notch filters. The proposed algorithm is a cascade of two GANF filters: a multiple-frequency "precise" filter bank, used for precise system tracking, and a single-frequency "scout" filter, used for detection and tracking of new frequency components. The algorithm isequipped with two adaptation mechanisms, which allow one to remove superfluous/redundant filters from the parallel filter bank, and to add new filters to the bank, respectively. It yields substantial performance improvement over the conventional (fixed-structure) GANF algorithms.

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Category:
Monographic publication
Type:
rozdział, artykuł w książce - dziele zbiorowym /podręczniku w języku o zasięgu międzynarodowym
Title of issue:
Recent Advances in Control and Automation strony 242 - 251
Language:
English
Publication year:
2008
Bibliographic description:
Niedźwiecki M., Kaczmarek P.: Variable-structure algorithm for identification of quasi-periodically varying systems// Recent Advances in Control and Automation/ ed. eds: K. Malinowski, L. Rutkowski. Warsaw: Academic Publishing House EXIT, 2008, s.242-251
Verified by:
Gdańsk University of Technology

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