Nonlinear Model Predictive Control
Nonlinear Model Predictive Control is a model-based control strategy that generalizes predictive control to nonlinear systems by explicitly incorporating nonlinear dynamic models within a receding horizon optimization framework to compute control actions that minimize a nonlinear cost function subject to nonlinear constraints.
2.6K
Publications
143.9K
Citations
5.4K
Authors
1.3K
Institutions
Publications per year
2017–2026
1.2K
Variants
Nmpc
2.6K
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
Hong Chen, Frank Allgöwer · Automatica · 1998 · 1.5K citations
Natural Sciences, Aerospace Engineering, Dynamical Systems +10
1–5 of 2.6K
5.4K
32
h-index
31
h-index
24
h-index
22
h-index
University of California, Los Angeles, United States
28 publications · 2K citations
21
h-index
1–5 of 5.4K
1.3K
University of Stuttgart
Stuttgart, Germany
39 h-index
189 publications
14.9K citations
KU Leuven
Leuven, Belgium
31 h-index
158 publications
10.1K citations
ETH Zurich
Zurich, Switzerland
31 h-index
128 publications
14.4K citations
University of California, Berkeley
Berkeley, United States
27 h-index
108 publications
8.8K citations
University of Michigan
Ann Arbor, United States
26 h-index
112 publications
4.2K citations

Universidad de Sevilla
Seville, Spain
25 h-index
76 publications
7.3K citations
Norwegian University of Science and Technology
Trondheim, Norway
25 h-index
100 publications
4.3K citations

Shanghai Jiao Tong University
Shanghai, China
24 h-index
95 publications
5K citations
1–8 of 1.3K
106 publications · 6.5K citations
47
h-index
74 publications · 6.6K citations
44
h-index
63 publications · 15.3K citations
42
h-index
72 publications · 9.4K citations
39
h-index
69 publications · 4.4K citations
35
h-index
1–5