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Iterative feedback tuning—an overview
Author(s) -
Hjalmarsson Håkan
Publication year - 2002
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.714
Subject(s) - robustness (evolution) , computer science , minification , control theory (sociology) , iterative method , stability (learning theory) , linear system , adaptive control , output feedback , algorithm , mathematical optimization , control (management) , mathematics , artificial intelligence , machine learning , gene , programming language , mathematical analysis , biochemistry , chemistry
Adaptive and iterative control algorithms based on explicit criterion minimization are briefly reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is presented. The basic IFT algorithm is reviewed for both single‐input/single‐output and multi‐input/multi‐output systems. Subsequently the application to non‐linear systems is discussed. Stability and robustness aspects are covered. A survey of existing extensions, applications and related methods is also provided. Copyright © 2002 John Wiley & Sons, Ltd.