Linear Tracking MPC for Nonlinear Systems—Part I: The Model-Based Case-Reference-Cited by-同舟云学术

Linear Tracking MPC for Nonlinear Systems—Part I: The Model-Based Case

Published:2022-09 Issue:9 Volume:67 Page:4390-4405
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Berberich Julian¹^ORCID,Kohler Johannes¹^ORCID,Muller Matthias A.²^ORCID,Allgower Frank¹^ORCID

Affiliation:

1. University of Stuttgart, Institute for Systems Theory and Automatic Control, Stuttgart, Germany

2. Leibniz University Hannover, Institute of Automatic Control, Hannover, Germany

Funder

Deutsche Forschungsgemeinschaft

Germany's Excellence Strategy - EXC 2075

European Research Council

European Union's Horizon 2020 research and innovation programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/9/9870073/09756294.pdf?arnumber=9756294

Reference26 articles.

1. Data-Enabled Predictive Control: In the Shallows of the DeePC

2. Data-Driven Model Predictive Control With Stability and Robustness Guarantees

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4. A computationally efficient nonlinear predictive control algorithm with RBF neural models and its application;?awry?czuk;Rough Sets and Intelligent Systems Paradigms,2007

5. Control of Unknown Nonlinear Systems with Linear Time-Varying MPC

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