Set membership approximation of discontinuous nonlinear model predictive control laws

10.1016/j.automatica.2011.09.039 ◽

2012 ◽

Vol 48 (1) ◽

pp. 191-197 ◽

Author(s):

Lorenzo Fagiano ◽

Massimo Canale ◽

Mario Milanese

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

Control Laws ◽

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Nonlinear Model Predictive Control using Set Membership Approximated Models

UKACC International Conference on CONTROL 2010 ◽

10.1049/ic.2010.0276 ◽

2010 ◽

Author(s):

M. Canale ◽

L. Fagiano ◽

M. Milanese ◽

M.C. Signorile

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

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Nonlinear model predictive control from data: a set membership approach

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.2878 ◽

2012 ◽

Vol 24 (1) ◽

pp. 123-139 ◽

Author(s):

M. Canale ◽

L. Fagiano ◽

M.C. Signorile

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

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Fast Nonlinear Model Predictive Control via Set Membership Approximation: An Overview

Nonlinear Model Predictive Control - Lecture Notes in Control and Information Sciences ◽

10.1007/978-3-642-01094-1_36 ◽

2009 ◽

pp. 461-470 ◽

Author(s):

Massimo Canale ◽

Lorenzo Fagiano ◽

Mario Milanese

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

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Fast Nonlinear Model Predictive Control Using Set Membership Approximation⋆ ⋆This work has been partly supported by Ministero dell'Università e della Ricerca of Italy, under the National Project “Advanced control and identification techniques for innovative applications”.

IFAC Proceedings Volumes ◽

10.3182/20080706-5-kr-1001.02060 ◽

2008 ◽

Vol 41 (2) ◽

pp. 12165-12170

Author(s):

M. Canale ◽

L. Fagiano ◽

M. Milanese

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

National Project ◽

Advanced Control ◽

Set Membership ◽

Identification Techniques

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DE-based Nonlinear Model Predictive Control of a pH Neutralization Process

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2010.00159 ◽

2010 ◽

Vol 36 (1) ◽

pp. 159-162 ◽

Author(s):

Teng ZHU ◽

Jing-Chun WANG ◽

Zhi-Hua XIONG

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

Neutralization Process ◽

Ph Neutralization ◽

Ph Neutralization Process

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Research on Non-switch Analytic Nonlinear Model Predictive Control Method for a Class of Nonlinear Systems

ACTA AUTOMATICA SINICA ◽

10.3724/sp.j.1004.2008.01147 ◽

2009 ◽

Vol 34 (9) ◽

pp. 1147-1156 ◽

Author(s):

Guo-Yin ZHANG

Keyword(s):

Nonlinear Systems ◽

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Control Method ◽

Nonlinear Model Predictive Control

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Efficient Nonlinear Model Predictive Control for Quadrotor Trajectory Tracking: Algorithms and Experiment

IEEE Transactions on Cybernetics ◽

10.1109/tcyb.2020.3043361 ◽

2021 ◽

pp. 1-12

Author(s):

Dong Wang ◽

Quan Pan ◽

Yang Shi ◽

Jinwen Hu ◽

Chunhui Zhao

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Trajectory Tracking ◽

Nonlinear Model Predictive Control ◽

Tracking Algorithms

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Robust Nonlinear Model Predictive Control Based Visual Servoing of Quadrotor UAVs

IEEE/ASME Transactions on Mechatronics ◽

10.1109/tmech.2021.3053267 ◽

2021 ◽

pp. 1-1

Author(s):

Kunwu Zhang ◽

Yang Shi ◽

Huaiyuan Sheng

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Visual Servoing ◽

Nonlinear Model Predictive Control ◽

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Gray-Box system modeling using symbolic regression and nonlinear model predictive control of a semibatch polymerization

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2020.107204 ◽

2021 ◽

Vol 146 ◽

pp. 107204

Author(s):

Lukas Scheffold ◽

Tiago Finkler ◽

Uwe Piechottka

Keyword(s):

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

System Modeling ◽

Symbolic Regression ◽

Nonlinear Model Predictive Control

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Approximate moving horizon estimation and robust nonlinear model predictive control via deep learning

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2021.107266 ◽

2021 ◽

pp. 107266

Author(s):

Benjamin Karg ◽

Sergio Lucia

Keyword(s):

Deep Learning ◽

Model Predictive Control ◽

Predictive Control ◽

Nonlinear Model ◽

Nonlinear Model Predictive Control ◽

Moving Horizon Estimation

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