Modular Adaptive Safety-Critical Control

This paper presents an adaptive control approach for uncertain nonlinear systems subject to safety constraints that allows for modularity in the selection of the parameter estimation algorithm. Such modularity is achieved by unifying the concepts of input-to-state stability (ISS) and input-to-state...

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Bibliographic Details

Published in:	Proceedings of the American Control Conference pp. 2969 - 2974
Main Authors:	Cohen, Max H., Belta, Calin
Format:	Conference Proceeding
Language:	English
Published:	American Automatic Control Council 31.05.2023
Subjects:	Adaptive control Estimation Machine learning Machine learning algorithms Nonlinear systems Parameter estimation Safety
ISSN:	2378-5861
Online Access:	Get full text
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