Recursively updated least squares based modification term for adaptive control | IEEE Conference Publication | IEEE Xplore

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 mod...Show More

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.
Date of Conference: 30 June 2010 - 02 July 2010
Date Added to IEEE Xplore: 29 July 2010
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Conference Location: Baltimore, MD, USA

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