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Strong robustness in multi‐phase adaptive control: the basic scheme
Author(s) -
Cadic Maria,
Willem Polderman Jan
Publication year - 2004
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.798
Subject(s) - robustness (evolution) , control theory (sociology) , adaptive control , computer science , robust control , control system , mathematics , engineering , control (management) , artificial intelligence , biochemistry , chemistry , electrical engineering , gene
The general structure of adaptive control systems based on strong robustness is introduced. This approach splits into two phases. In the first phase, emphasis is put on identification until enough information is obtained in order to design a controller that stabilizes the actual system, and even under adaptation. This is achieved if the input sequence is computed in such a way that the uncertainty on the parameters of the system to be controlled becomes sufficiently small. Then, in the second phase, effort is shifted to control via a traditional certainty equivalence type of strategy. Copyright © 2004 John Wiley & Sons, Ltd.