A robust adaptive model predictive control framework for nonlinear uncertain systems

Summary In this article, we present a tube‐based framework for robust adaptive model predictive control (RAMPC) for nonlinear systems subject to parametric uncertainty and additive disturbances. Set‐membership estimation is used to provide accurate bounds on the parametric uncertainty, which are emp...

Full description

Bibliographic Details

Published in:	International journal of robust and nonlinear control Vol. 31; no. 18; pp. 8725 - 8749
Main Authors:	Köhler, Johannes, Kötting, Peter, Soloperto, Raffaele, Allgöwer, Frank, Müller, Matthias A.
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01.12.2021
Subjects:	Adaptive control Algorithms constrained control Constraint modelling Disturbances Feasibility Liapunov functions Nonlinear control nonlinear model predictive control Nonlinear systems Parameter estimation Predictive control Robust control uncertain systems Uncertainty
ISSN:	1049-8923, 1099-1239
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!