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A QFT framework for nonlinear robust stability
Author(s) -
Baños Alfonso,
Barreiro Antonio,
Gordillo Francisco,
Aracil Javier
Publication year - 2002
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/rnc.653
Subject(s) - nonlinear system , control theory (sociology) , harmonic balance , multiplier (economics) , stability (learning theory) , robust control , computer science , mathematics , control engineering , control (management) , engineering , economics , physics , artificial intelligence , quantum mechanics , machine learning , macroeconomics
Abstract The problem of deriving conditions for a stabilizing linear compensator in a uncertain nonlinear control system is addressed, for some types of memoryless nonlinearities like the saturation or the dead zone. The approach is to incorporate to QFT conditions given by the application of harmonic balance and multiplier techniques, providing the designer with a very transparent tool for synthesizing nonlinear stabilizing compensators, balancing between different possible alternatives. Copyright © 2002 John Wiley & Sons, Ltd.