Stochastic Model Predictive Control
Stochastic Model Predictive Control is a model predictive control framework that incorporates probabilistic descriptions of uncertainties in system dynamics or disturbances, distinguishing itself from deterministic variants by optimizing control actions with respect to chance constraints and stochastic cost functionals.
361
Publications
19.1K
Citations
859
Authors
310
Institutions
Publications per year
2017–2026
208
Variants
Stochastic Mpc
Parents
361
Stefano Di Cairano, Daniele Bernardini, Alberto Bemporad et al. · IEEE Transactions on Control Systems Technology · 2013 · 442 citations
Aggressive driving with model predictive path integral control
Grady Williams, Paul Drews, Brian Goldfain et al. · 2016 · 420 citations
1–5 of 361
859
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1–5 of 859
310
ETH Zurich
Zurich, Switzerland
20 h-index
67 publications
4.8K citations
University of Oxford
Oxford, United Kingdom
16 h-index
42 publications
2.9K citations
University of California, Berkeley
Berkeley, United States
16 h-index
49 publications
4.2K citations

Beijing Institute of Technology
Beijing, China
13 h-index
37 publications
2.4K citations

Delft University of Technology
Delft, The Netherlands
12 h-index
33 publications
717 citations
University of Stuttgart
Stuttgart, Germany
10 h-index
20 publications
731 citations
University of Michigan
Ann Arbor, United States
9 h-index
13 publications
1K citations
Politecnico di Torino
Turin, Italy
9 h-index
22 publications
1.1K citations
1–8 of 310
15 publications · 1.1K citations
14
h-index
17 publications · 368 citations
14
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15 publications · 1.1K citations
14
h-index
12 publications · 1.4K citations
12
h-index
11 publications · 989 citations
10
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1–5