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Exploring the maximum capability of adaptive feedback
Author(s) -
Guo Lei
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.713
Subject(s) - parametric statistics , control theory (sociology) , adaptive control , dynamical systems theory , computer science , adaptive system , feedback control , control (management) , control engineering , mathematics , engineering , artificial intelligence , physics , statistics , quantum mechanics
The main purpose of adaptive feedback is to deal with dynamical systems with internal and/or external uncertainties, by using the on‐line observed information. Thus, a fundamental problem in adaptive control is to understand the maximum capability (and limits) of adaptive feedback. This paper gives a survey of some basic ideas and results developed recently in this direction, for several typical classes of uncertain dynamical systems including parametric and non‐parametric non‐linear systems, sampled‐data systems and time‐varying systems. Copyright © 2002 John Wiley & Sons, Ltd.