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Nonlinear quantitative stability
Author(s) -
Baños Alfonso,
Horowitz Isaac M.
Publication year - 2004
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.879
Subject(s) - stability (learning theory) , nonlinear system , control theory (sociology) , point (geometry) , small gain theorem , work (physics) , linear system , mathematics , computer science , engineering , mathematical analysis , physics , control (management) , mechanical engineering , geometry , quantum mechanics , machine learning , artificial intelligence
This work makes use of the Schauder fixed point theorem to develop a quantitative approach to the stability problem of non‐linear QFT designs. The method is applied to non‐linear systems having a linear high‐frequency behaviour, allowing nonlinearities in the input and output, and is especially well suited for systems with hard memoryless nonlinearities. Copyright © 2004 John Wiley & Sons, Ltd.