Abstract:
We present an approach for combining standard recursive least squares based regression with proven direct model reference adaptive control using a recursively updated mod...Show MoreMetadata
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.
Published in: Proceedings of the 2010 American Control Conference
Date of Conference: 30 June 2010 - 02 July 2010
Date Added to IEEE Xplore: 29 July 2010
ISBN Information: