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Robustness and stability of LPV plants through frozen systems analysis
Author(s) -
Fromion V.,
Monaco S.,
NormandCyrot D.
Publication year - 1996
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/(sici)1099-1239(199604)6:3<235::aid-rnc150>3.0.co;2-p
Subject(s) - robustness (evolution) , control theory (sociology) , stability (learning theory) , mathematics , computer science , engineering , control (management) , chemistry , biochemistry , artificial intelligence , machine learning , gene
The paper studies linear parameter varying, (LPV) plants. Starting from a preliminary stability result, stability and robustness of the whole control system are characterized from local properties of the associated frozen systems. The L 2 ‐gain of the global system is characterized in terms of the L 2 ‐gain of each frozen system making use of properties of the associated Riccati equations.