Linear Model Predictive Control
Linear Model Predictive Control is a model predictive control strategy that uses a linear dynamic model of the system to predict future behavior and compute optimal control inputs by solving a quadratic optimization problem over a finite horizon, distinguishing it from nonlinear or hybrid variants through its reliance on linear system assumptions and convex formulation.
841
Publications
63.5K
Citations
1.9K
Authors
643
Institutions
Publications per year
2017–2026
309
Variants
Linear Mpc
Parents
841
Model predictive control: Theory and practice—A survey
Carlos E. García, David M. Prett, Manfred Morari · Automatica · 1989 · 5.3K citations
Model predictive control: Recent developments and future promise
D.Q. Mayne · Automatica · 2014 · 1.9K citations
Engineering, Manufacturing Engineering, Dynamical Systems +15
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643
ETH Zurich
Zurich, Switzerland
19 h-index
63 publications
11.3K citations

Delft University of Technology
Delft, The Netherlands
18 h-index
59 publications
2.4K citations
University of Stuttgart
Stuttgart, Germany
18 h-index
64 publications
4.5K citations

IMT School for Advanced Studies Lucca
Lucca, Italy
16 h-index
28 publications
2.3K citations
Norwegian University of Science and Technology
Trondheim, Norway
16 h-index
39 publications
1.3K citations

Imperial College London
London, United Kingdom
15 h-index
33 publications
7.1K citations

Universidad de Sevilla
Seville, Spain
15 h-index
32 publications
1.6K citations
KU Leuven
Leuven, Belgium
13 h-index
28 publications
3.5K citations
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39 publications · 13.8K citations
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37 publications · 4.7K citations
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21 publications · 1.4K citations
17
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29 publications · 1.1K citations
17
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16 publications · 1.3K citations
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