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Effective identification algorithms for adaptive control

✍ Scribed by Sergio Bittanti; Marco Campi; Fabrizio Lorito

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
654 KB
Volume
6
Category
Article
ISSN
0890-6327

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✦ Synopsis

Minimum variance adaptive control schemes are considered. By means of the concept of excitation subspace, the notion of effective identification algorithm is introduced. It is shown that, if the system to be controlled is noise-free and minimum phase, the tracking error tends to zero provided that the identification is effective. Finally, the effectiveness of the most popular recursive identification techniques (recursive least squares, stochastic gradient, projection algorithm) is discussed.

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