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A new model reference adaptive control for linear time‐varying systems
Author(s) -
Chen MinShin,
Wu JiaMing
Publication year - 2000
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 - 10.1002/1099-1115(200006)14:4<469::aid-acs601>3.0.co;2-b
Subject(s) - bounded function , adaptive control , control theory (sociology) , range (aeronautics) , estimation theory , computer science , tracking error , tracking (education) , feature (linguistics) , linear system , reference model , state (computer science) , control (management) , mathematics , algorithm , engineering , artificial intelligence , mathematical analysis , software engineering , psychology , pedagogy , linguistics , philosophy , aerospace engineering
Recent results on the adaptive control of linear time‐varying systems have considered mostly the case in which the range or rate of parameter variations is small. In this paper, a new state feed‐back model reference adaptive control is developed for systems with bounded arbitrary parameter variations. The important feature of the proposed adaptive control is an uncertainty estimation algorithm, which guarantees almost zero tracking error. Note that the conventional parameter estimation algorithm in the adaptive control guarantees only bounded tracking error. Copyright © 2000 John Wiley & Sons, Ltd.