Robust learning-based MPC for nonlinear constrained systems

This paper presents a robust learning-based predictive control strategy for nonlinear systems subject to both input and output constraints, under the assumption that the model function is not known a priori and only input–output data are available. The proposed controller is obtained using a nonpara...

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Bibliographic Details
Main Authors: Manzano, JM, Limon, D, Muñoz de la Peña, D, Calliess, J-P
Format: Journal article
Language:English
Published: Elsevier 2020

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