@inproceedings{5ed6c905e13245de8a2249c80afc56d8,
title = "Recursively updated least squares based modification term for adaptive control",
abstract = "We present an approach for combining standard recursive least squares based regression with proven direct model reference adaptive control using a recursively updated modification term. This approach is applicable to adaptive control problems where the uncertainty can be linearly parameterized. The combined training law drives the adaptive weights smoothly to a recursively updated least squares estimate of the ideal weights and is shown to have a stability proof. Expected improvement in performance of the adaptive law is validated through simulation.",
author = "Girish Chowdhary and Eric Johnson",
year = "2010",
doi = "10.1109/acc.2010.5530475",
language = "English (US)",
isbn = "9781424474264",
series = "Proceedings of the 2010 American Control Conference, ACC 2010",
publisher = "IEEE Computer Society",
pages = "892--897",
booktitle = "Proceedings of the 2010 American Control Conference, ACC 2010",
}