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Parametric design approach for proportional multiple‐integral derivative observers in descpriptor linear systems
Author(s) -
Wu AiGuo,
Duan GuangRen,
Hou MingZhe
Publication year - 2012
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.467
Subject(s) - observer (physics) , control theory (sociology) , parametric statistics , mathematics , derivative (finance) , linear system , computer science , mathematical analysis , control (management) , artificial intelligence , statistics , physics , quantum mechanics , financial economics , economics
Abstract A new type of observer for descriptor linear systems, proportional multiple‐integral derivative ( PMID ) observers, is proposed in this paper. A parametric design approach for such observer is established. The proposed approach gives the complete parameterizations for all the observer gain matrices, realizes the elimination of impulsive behaviors, and guarantees the regularity of the observer systems. A numerical example is provided to show the design procedure and illustrate the effectiveness of the presented approach.